Now, we know what kind of common functions we need. So, I have make some functions which we used as files. So, you can find them in the howto directory.
I think we already know what they are. So, just import them and use. BTW, if you want to modify them, just open those files and modify.
Also, you can find the commit which is for extracting common functions in github. Here is the comment of the commit. Now, you can understand what's this.
refactor: extract some common functions and make them modules
In python, a file can be a module. So, we can extract some common
functions from implementation in IPython and make them as a
or some files. After this, we can get a or some modules and we can
import them into our source code.
https://docs.python.org/2/tutorial/modules.html
In [24]:
from utils import load_buzz, select, write_result
from features import featurize, get_pos
from containers import Questions, Users, Categories
Right, now, you can use those module.
In [3]:
%matplotlib inline
import numpy as np
from scipy import linalg
import matplotlib.pyplot as plt
import matplotlib as mpl
from sklearn import mixture
def plot_gmm(X, models, n_components, covariance_type='diag', n_iter=100,
figsize=(10, 20), suptitle=None, xlabel=None, ylabel=None):
color_iter = ['r', 'g', 'b', 'c', 'm', 'y', 'k', 'gray', 'pink', 'lime']
plt.figure(figsize=figsize)
plt.suptitle(suptitle, fontsize=20)
for i, model in enumerate(models):
mm = getattr(mixture, model)(n_components=n_components,
covariance_type=covariance_type,
n_iter=n_iter)
mm.fit(X_pos_qid)
Y = mm.predict(X_pos_qid)
plt.subplot(len(models), 1, 1 + i)
for i, color in enumerate(color_iter):
plt.scatter(X_pos_qid[Y == i, 0], X_pos_qid[Y == i, 1], .7, color=color)
plt.title(model, fontsize=15)
plt.xlabel(xlabel, fontsize=12)
plt.ylabel(ylabel, fontsize=12)
plt.grid()
plt.show()
In [4]:
users = Users(load_buzz())
questions = Questions(load_buzz())
X_pos_uid = users.select(['ave_pos_uid', 'acc_ratio_uid'])
X_pos_qid = questions.select(['ave_pos_qid', 'acc_ratio_qid'])
In [5]:
plot_gmm(X_pos_uid,
models=['GMM', 'VBGMM', 'DPGMM'],
n_components=8,
covariance_type='diag',
figsize=(10, 20),
suptitle='Classifying users',
xlabel='abs(position)',
ylabel='accuracy ratio')
In [6]:
plot_gmm(X_pos_qid,
models=['GMM', 'VBGMM', 'DPGMM'],
n_components=8,
covariance_type='diag',
figsize=(10, 20),
suptitle='Classifying questions',
xlabel='abs(position)',
ylabel='accuracy ratio')
In [7]:
# Question category
n_components = 8
gmm = mixture.DPGMM(n_components=n_components, covariance_type='diag', n_iter=10**10)
gmm.fit(X_pos_qid)
pred_cat_qid = gmm.predict(X_pos_qid)
plt.hist(pred_cat_qid, bins=50, facecolor='g', alpha=0.75)
plt.xlabel("Category number")
plt.ylabel("Count")
plt.title("Question Category: " + str(n_components) + " categories")
plt.grid(True)
plt.show()
In [8]:
# User category
n_components = 8
gmm = mixture.DPGMM(n_components=n_components, covariance_type='diag', n_iter=10**10)
gmm.fit(X_pos_uid)
pred_cat_uid = gmm.predict(X_pos_uid)
plt.hist(pred_cat_uid, bins=50, facecolor='g', alpha=0.75)
plt.xlabel("Category number")
plt.ylabel("Count")
plt.title("User Category: " + str(n_components) + " categories")
plt.grid(True)
plt.show()
In [9]:
from collections import Counter
users.sub_append('cat_uid', [str(x) for x in pred_cat_uid])
questions.sub_append('cat_qid', [str(x) for x in pred_cat_qid])
# to get most frequent cat for some test data which do not have ids in train set
most_pred_cat_uid = Counter(pred_cat_uid).most_common(1)[0][0]
most_pred_cat_qid = Counter(pred_cat_qid).most_common(1)[0][0]
print(most_pred_cat_uid)
print(most_pred_cat_qid)
4
4
In [10]:
print(users[1])
print(questions[1])
{'cat_uid': '4', 'acc_ratio_uid': 0.6465863453815262, 'ave_pos_uid': 96.724899598393577}
{'cat_qid': '4', 'acc_ratio_qid': 0.875, 'answer': 'thomas cole', 'question': "This painter's indulgence of visual fantasy, and appreciation of different historic architectural styles can be seen in his 1840 Architect's Dream. After a series of paintings on The Last of the Mohicans, he made a three year trip to Europe in 1829, but he is better known for a trip four years earlier in which he journeyed up the Hudson River to the Catskill Mountains. FTP, name this painter of The Oxbow and The Voyage of Life series.", 'pos_token': {0: '', 1: 'painters', 2: 'indulgence', 4: 'visual', 5: 'fantasy', 68: 'this_painter', 7: 'appreciation', 64: 'mountains', 9: 'different', 10: 'historic', 11: 'architectural', 12: 'styles', 66: 'name', 77: 'series', 15: 'seen', 18: '1840', 19: 'architects', 20: 'dream', 23: 'series', 25: 'paintings', 28: 'last', 31: 'mohicans', 33: 'made', 35: 'three', 36: 'year', 37: 'trip', 65: 'ftp', 39: 'europe', 41: '1829', 71: 'oxbow', 45: 'better', 46: 'known', 76: 'life', 49: 'trip', 50: 'four', 51: 'years', 52: 'earlier', 56: 'journeyed', 59: 'hudson', 60: 'river', 74: 'voyage', 63: 'catskill'}, 'group': 'test', 'ave_pos_qid': 70.5, 'category': 'Fine Arts'}
In [11]:
regression_keys = ['category', 'q_length', 'qid', 'uid', 'answer', 'avg_pos_uid', 'avg_pos_qid']
X_train, y_train = featurize(load_buzz(), group='train', sign_val=None, extra=['sign_val', 'avg_pos'])
X_train = select(X_train, regression_keys)
In [12]:
categories = Categories(load_buzz())
In [13]:
for item in X_train:
for key in categories[item['category']].keys():
item[key] = categories[item['category']][key]
In [14]:
X_train
Out[14]:
[{'acc_ratio_cat': 0.7560975609756098,
'answer': 'thomas cole',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.0,
'avg_pos_uid': 55.708333333333336,
'category': 'fine arts',
'q_length': 78,
'qid': 1,
'uid': 0},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'thomas cole',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.0,
'avg_pos_uid': 30.973895582329316,
'category': 'fine arts',
'q_length': 78,
'qid': 1,
'uid': 1},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'thomas cole',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.0,
'avg_pos_uid': 36.72222222222222,
'category': 'fine arts',
'q_length': 78,
'qid': 1,
'uid': 2},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'thomas cole',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.0,
'avg_pos_uid': 49.65835411471322,
'category': 'fine arts',
'q_length': 78,
'qid': 1,
'uid': 3},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'thomas cole',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.0,
'avg_pos_uid': 72.65142857142857,
'category': 'fine arts',
'q_length': 78,
'qid': 1,
'uid': 4},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'thomas cole',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.0,
'avg_pos_uid': 38.608695652173914,
'category': 'fine arts',
'q_length': 78,
'qid': 1,
'uid': 5},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'thomas cole',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.0,
'avg_pos_uid': 26.897727272727273,
'category': 'fine arts',
'q_length': 78,
'qid': 1,
'uid': 7},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'thomas cole',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.0,
'avg_pos_uid': 8.571428571428571,
'category': 'fine arts',
'q_length': 78,
'qid': 1,
'uid': 8},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'rococo',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 68.0,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 78,
'qid': 4,
'uid': 9},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'swing',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 75.0,
'avg_pos_uid': 48.99321266968326,
'category': 'literature',
'q_length': 75,
'qid': 5,
'uid': 10},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'swing',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 75.0,
'avg_pos_uid': 53.590062111801245,
'category': 'literature',
'q_length': 75,
'qid': 5,
'uid': 11},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'swing',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 75.0,
'avg_pos_uid': 30.973895582329316,
'category': 'literature',
'q_length': 75,
'qid': 5,
'uid': 1},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'el greco',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 49.833333333333336,
'avg_pos_uid': 30.833333333333332,
'category': 'fine arts',
'q_length': 76,
'qid': 6,
'uid': 13},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'el greco',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 49.833333333333336,
'avg_pos_uid': 38.577586206896555,
'category': 'fine arts',
'q_length': 76,
'qid': 6,
'uid': 14},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'el greco',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 49.833333333333336,
'avg_pos_uid': 31.45751633986928,
'category': 'fine arts',
'q_length': 76,
'qid': 6,
'uid': 12},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'el greco',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 49.833333333333336,
'avg_pos_uid': 49.65835411471322,
'category': 'fine arts',
'q_length': 76,
'qid': 6,
'uid': 3},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'el greco',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 49.833333333333336,
'avg_pos_uid': 45.63157894736842,
'category': 'fine arts',
'q_length': 76,
'qid': 6,
'uid': 15},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'el greco',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 49.833333333333336,
'avg_pos_uid': 38.09090909090909,
'category': 'fine arts',
'q_length': 76,
'qid': 6,
'uid': 16},
{'acc_ratio_cat': 0.7069788249328959,
'answer': 'max weber',
'ave_pos_cat': 33.599761407694601,
'avg_pos_qid': 84.75,
'avg_pos_uid': 49.20206489675516,
'category': 'social studies',
'q_length': 100,
'qid': 10924,
'uid': 18},
{'acc_ratio_cat': 0.7069788249328959,
'answer': 'max weber',
'ave_pos_cat': 33.599761407694601,
'avg_pos_qid': 84.75,
'avg_pos_uid': 35.77872340425532,
'category': 'social studies',
'q_length': 100,
'qid': 10924,
'uid': 19},
{'acc_ratio_cat': 0.7069788249328959,
'answer': 'max weber',
'ave_pos_cat': 33.599761407694601,
'avg_pos_qid': 84.75,
'avg_pos_uid': 55.74681753889675,
'category': 'social studies',
'q_length': 100,
'qid': 10924,
'uid': 20},
{'acc_ratio_cat': 0.7069788249328959,
'answer': 'max weber',
'ave_pos_cat': 33.599761407694601,
'avg_pos_qid': 84.75,
'avg_pos_uid': 38.577586206896555,
'category': 'social studies',
'q_length': 100,
'qid': 10924,
'uid': 14},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'garden of earthly delights',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 30.5,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 75,
'qid': 11,
'uid': 9},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'garden of earthly delights',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 30.5,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 75,
'qid': 11,
'uid': 9},
{'acc_ratio_cat': 0.65625,
'answer': 'nicolas poussin',
'ave_pos_cat': 18.712499999999999,
'avg_pos_qid': 62.5,
'avg_pos_uid': 52.05338078291815,
'category': 'mathematics',
'q_length': 64,
'qid': 19,
'uid': 22},
{'acc_ratio_cat': 0.65625,
'answer': 'nicolas poussin',
'ave_pos_cat': 18.712499999999999,
'avg_pos_qid': 62.5,
'avg_pos_uid': 64,
'category': 'mathematics',
'q_length': 64,
'qid': 19,
'uid': 4},
{'acc_ratio_cat': 0.7069788249328959,
'answer': 'haywain',
'ave_pos_cat': 33.599761407694601,
'avg_pos_qid': 68.0,
'avg_pos_uid': 27.819887429643526,
'category': 'social studies',
'q_length': 97,
'qid': 35,
'uid': 23},
{'acc_ratio_cat': 0.7069788249328959,
'answer': 'haywain',
'ave_pos_cat': 33.599761407694601,
'avg_pos_qid': 68.0,
'avg_pos_uid': 39.851063829787236,
'category': 'social studies',
'q_length': 97,
'qid': 35,
'uid': 9},
{'acc_ratio_cat': 0.7069788249328959,
'answer': 'haywain',
'ave_pos_cat': 33.599761407694601,
'avg_pos_qid': 68.0,
'avg_pos_uid': 55.74681753889675,
'category': 'social studies',
'q_length': 97,
'qid': 35,
'uid': 20},
{'acc_ratio_cat': 0.7069788249328959,
'answer': 'haywain',
'ave_pos_cat': 33.599761407694601,
'avg_pos_qid': 68.0,
'avg_pos_uid': 39.851063829787236,
'category': 'social studies',
'q_length': 97,
'qid': 35,
'uid': 9},
{'acc_ratio_cat': 0.7069788249328959,
'answer': 'haywain',
'ave_pos_cat': 33.599761407694601,
'avg_pos_qid': 68.0,
'avg_pos_uid': 39.851063829787236,
'category': 'social studies',
'q_length': 97,
'qid': 35,
'uid': 9},
{'acc_ratio_cat': 0.7069788249328959,
'answer': 'haywain',
'ave_pos_cat': 33.599761407694601,
'avg_pos_qid': 68.0,
'avg_pos_uid': 39.851063829787236,
'category': 'social studies',
'q_length': 97,
'qid': 35,
'uid': 9},
{'acc_ratio_cat': 0.7069788249328959,
'answer': 'haywain',
'ave_pos_cat': 33.599761407694601,
'avg_pos_qid': 68.0,
'avg_pos_uid': 39.851063829787236,
'category': 'social studies',
'q_length': 97,
'qid': 35,
'uid': 9},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'swing',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.333333333333336,
'avg_pos_uid': 49.20206489675516,
'category': 'fine arts',
'q_length': 77,
'qid': 36,
'uid': 18},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'swing',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.333333333333336,
'avg_pos_uid': 49.725247524752476,
'category': 'fine arts',
'q_length': 77,
'qid': 36,
'uid': 24},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'swing',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.333333333333336,
'avg_pos_uid': 23.157894736842106,
'category': 'fine arts',
'q_length': 77,
'qid': 36,
'uid': 25},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'swing',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.333333333333336,
'avg_pos_uid': 38.608695652173914,
'category': 'fine arts',
'q_length': 77,
'qid': 36,
'uid': 5},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'swing',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.333333333333336,
'avg_pos_uid': 34.97027027027027,
'category': 'fine arts',
'q_length': 77,
'qid': 36,
'uid': 27},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'swing',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.333333333333336,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 77,
'qid': 36,
'uid': 9},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'tempest',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 43.0,
'avg_pos_uid': 46.93333333333333,
'category': 'fine arts',
'q_length': 82,
'qid': 42,
'uid': 28},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'tempest',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 43.0,
'avg_pos_uid': -2.2989690721649483,
'category': 'fine arts',
'q_length': 82,
'qid': 42,
'uid': 29},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'tempest',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 43.0,
'avg_pos_uid': 49.65835411471322,
'category': 'fine arts',
'q_length': 82,
'qid': 42,
'uid': 3},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'marc chagall',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 46.0,
'avg_pos_uid': 49.65835411471322,
'category': 'fine arts',
'q_length': 92,
'qid': 44,
'uid': 3},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'peter paul rubens',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 77.0,
'avg_pos_uid': 42.727659574468085,
'category': 'fine arts',
'q_length': 77,
'qid': 46,
'uid': 30},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'peter paul rubens',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 77.0,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 77,
'qid': 46,
'uid': 9},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'peter paul rubens',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 77.0,
'avg_pos_uid': 33.91011235955056,
'category': 'fine arts',
'q_length': 77,
'qid': 46,
'uid': 31},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'olympia',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 28.785714285714285,
'avg_pos_uid': 21.65714285714286,
'category': 'fine arts',
'q_length': 76,
'qid': 49,
'uid': 32},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'olympia',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 28.785714285714285,
'avg_pos_uid': 51.770270270270274,
'category': 'fine arts',
'q_length': 76,
'qid': 49,
'uid': 33},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'olympia',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 28.785714285714285,
'avg_pos_uid': 55.90780141843972,
'category': 'fine arts',
'q_length': 76,
'qid': 49,
'uid': 26},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'olympia',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 28.785714285714285,
'avg_pos_uid': 26.0,
'category': 'fine arts',
'q_length': 76,
'qid': 49,
'uid': 34},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'olympia',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 28.785714285714285,
'avg_pos_uid': 5.277777777777778,
'category': 'fine arts',
'q_length': 76,
'qid': 49,
'uid': 35},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'olympia',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 28.785714285714285,
'avg_pos_uid': 21.72222222222222,
'category': 'fine arts',
'q_length': 76,
'qid': 49,
'uid': 36},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'olympia',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 28.785714285714285,
'avg_pos_uid': 55.204081632653065,
'category': 'fine arts',
'q_length': 76,
'qid': 49,
'uid': 37},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'olympia',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 28.785714285714285,
'avg_pos_uid': 30.973895582329316,
'category': 'fine arts',
'q_length': 76,
'qid': 49,
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'answer': 'pierreauguste renoir',
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'answer': 'kiss',
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'answer': 'kiss',
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'answer': 'kiss',
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'answer': 'kiss',
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'answer': 'kiss',
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'answer': 'kiss',
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'answer': 'venus',
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'answer': 'tribute money',
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'answer': 'tribute money',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'frans hals',
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'answer': 'john singer sargent',
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'answer': 'john singer sargent',
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'answer': 'john singer sargent',
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'answer': 'john singer sargent',
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'answer': 'bald soprano',
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'answer': 'sandro botticelli',
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'answer': 'school of athens',
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'answer': 'school of athens',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'potato eaters',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'francis bacon',
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'answer': 'francis bacon',
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'answer': 'francis bacon',
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{'acc_ratio_cat': 0.7560975609756098,
'answer': 'bridge',
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{'acc_ratio_cat': 0.7069788249328959,
'answer': 'alfred marshall',
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'answer': 'las meninas',
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'answer': 'nicolas poussin',
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'answer': 'olympia',
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'answer': 'olympia',
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'answer': 'olympia',
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'answer': 'olympia',
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'answer': 'olympia',
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'answer': 'olympia',
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'qid': 244,
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'answer': 'olympia',
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'category': 'fine arts',
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'qid': 244,
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'answer': 'marc chagall',
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'avg_pos_uid': 39.851063829787236,
'category': 'other',
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'answer': 'marc chagall',
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'category': 'other',
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'answer': 'haywain',
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'category': 'fine arts',
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'answer': 'haywain',
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'avg_pos_uid': 35.77872340425532,
'category': 'fine arts',
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'qid': 256,
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'answer': 'haywain',
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'avg_pos_uid': 44.0092879256966,
'category': 'fine arts',
'q_length': 110,
'qid': 256,
'uid': 73},
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'answer': 'haywain',
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'category': 'fine arts',
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'qid': 256,
'uid': 71},
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'answer': 'haywain',
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'qid': 256,
'uid': 60},
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'answer': 'haywain',
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'qid': 256,
'uid': 47},
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'answer': 'haywain',
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'avg_pos_uid': 49.65835411471322,
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'q_length': 110,
'qid': 256,
'uid': 3},
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'answer': 'haywain',
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'avg_pos_uid': 51.299546142208776,
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'q_length': 110,
'qid': 256,
'uid': 42},
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'answer': 'haywain',
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'qid': 256,
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'answer': 'watson and the shark',
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'avg_pos_uid': 54.17412935323383,
'category': 'fine arts',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'avg_pos_uid': 30.973895582329316,
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'answer': 'watson and the shark',
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'category': 'fine arts',
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'answer': 'raft of the medusa',
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'answer': 'raft of the medusa',
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'answer': 'las meninas',
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'answer': 'las meninas',
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'answer': 'las meninas',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'christinas world',
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'answer': 'christinas world',
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'answer': 'christinas world',
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'answer': 'christinas world',
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'answer': 'christinas world',
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'answer': 'paolo veronese',
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'answer': 'paolo veronese',
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'answer': 'paolo veronese',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'paul czanne',
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'answer': 'henri rousseau',
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'answer': 'henri rousseau',
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'answer': 'venice',
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'answer': 'venice',
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'answer': 'swing',
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'answer': 'swing',
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'answer': 'swing',
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'answer': 'swing',
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'answer': 'swing',
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'avg_pos_uid': 35.71875,
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'answer': 'swing',
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'answer': 'swing',
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'qid': 285,
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'answer': 'venus of urbino',
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'category': 'fine arts',
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'answer': 'nightmare',
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'avg_pos_qid': 91.5,
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'answer': 'nightmare',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'olympia',
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'answer': 'olympia',
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'answer': 'olympia',
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'answer': 'olympia',
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'answer': 'olympia',
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'answer': 'olympia',
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'answer': 'olympia',
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'answer': 'olympia',
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'answer': 'constantin brancusi',
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'answer': 'constantin brancusi',
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'answer': 'constantin brancusi',
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'answer': 'constantin brancusi',
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'answer': 'constantin brancusi',
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'answer': 'constantin brancusi',
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'answer': 'constantin brancusi',
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'answer': 'thomas gainsborough',
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'answer': 'thomas gainsborough',
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'answer': 'thomas gainsborough',
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'answer': 'kiss',
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'answer': 'kiss',
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'answer': 'kiss',
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'answer': 'kiss',
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'answer': 'john everett millais',
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'answer': 'swing',
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'answer': 'swing',
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'answer': 'swing',
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'answer': 'swing',
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'answer': 'jose clemente orozco',
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'answer': 'jose clemente orozco',
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'answer': 'jose clemente orozco',
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'answer': 'francis bacon',
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'answer': 'francis bacon',
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'answer': 'marcel duchamp',
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'answer': 'las meninas',
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'answer': 'christinas world',
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'answer': 'michelangelo merisi da caravaggio',
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'answer': 'kiss',
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'answer': 'kiss',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'avg_pos_uid': 35.64,
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'garden of earthly delights',
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'answer': 'edward hopper',
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'answer': 'edward hopper',
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'answer': 'edward hopper',
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'answer': 'edward hopper',
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'answer': 'edward hopper',
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'answer': 'edward hopper',
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'answer': 'christinas world',
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'answer': 'christinas world',
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'answer': 'christinas world',
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'answer': 'venus of urbino',
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'answer': 'pierreauguste renoir',
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'answer': 'edvard munch',
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'answer': 'edvard munch',
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'answer': 'edvard munch',
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'answer': 'david ricardo',
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'answer': 'spanish tragedy',
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'answer': 'spanish tragedy',
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'answer': 'john singleton copley',
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'answer': 'venus',
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'answer': 'ronald coase',
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'answer': 'ronald coase',
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'answer': 'ronald coase',
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'answer': 'ronald coase',
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'answer': 'ronald coase',
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'answer': 'ronald coase',
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'answer': 'ronald coase',
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'answer': 'max ernst',
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'answer': 'max ernst',
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'avg_pos_qid': -30.1,
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'category': 'fine arts',
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'answer': 'max ernst',
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'avg_pos_qid': -30.1,
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'qid': 437,
'uid': 14},
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'answer': 'max ernst',
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'uid': 16},
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'answer': 'max ernst',
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'uid': 24},
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'answer': 'max ernst',
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'uid': 25},
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'answer': 'max ernst',
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'avg_pos_qid': -30.1,
'avg_pos_uid': -13.975609756097562,
'category': 'fine arts',
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'qid': 437,
'uid': 58},
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'answer': 'max ernst',
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'avg_pos_qid': -30.1,
'avg_pos_uid': -24.770491803278688,
'category': 'fine arts',
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'qid': 437,
'uid': 94},
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'answer': 'max ernst',
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'avg_pos_qid': -30.1,
'avg_pos_uid': 35.64,
'category': 'fine arts',
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'qid': 437,
'uid': 133},
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'answer': 'max ernst',
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'qid': 437,
'uid': 60},
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'answer': 'max ernst',
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'avg_pos_qid': -30.1,
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'qid': 437,
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'answer': 'max ernst',
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'answer': 'max ernst',
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'answer': 'max ernst',
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'answer': 'max ernst',
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'answer': 'max ernst',
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'answer': 'max ernst',
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'answer': 'max ernst',
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'answer': 'max ernst',
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'avg_pos_uid': 32.083333333333336,
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'answer': 'max ernst',
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'avg_pos_uid': 3.1,
'category': 'fine arts',
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'answer': 'friedrich august von hayek',
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'answer': 'friedrich august von hayek',
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'answer': 'friedrich august von hayek',
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'answer': 'john singer sargent',
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'answer': 'john singer sargent',
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'avg_pos_qid': -9.5,
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'category': 'fine arts',
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'qid': 446,
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'answer': 'great expectations',
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'answer': 'great expectations',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'john constable',
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'answer': 'grant wood',
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'answer': 'grant wood',
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'answer': 'grant wood',
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'answer': 'grant wood',
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'answer': 'grant wood',
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'answer': 'grant wood',
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'q_length': 121,
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'answer': 'death of socrates',
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'avg_pos_uid': 70.61417322834646,
'category': 'fine arts',
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'answer': 'death of socrates',
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'avg_pos_uid': 38.577586206896555,
'category': 'fine arts',
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'qid': 457,
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'answer': 'death of socrates',
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'avg_pos_uid': 29.251351351351353,
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'answer': 'death of socrates',
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'avg_pos_uid': 35.375,
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'qid': 457,
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'answer': 'death of socrates',
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'avg_pos_qid': 49.285714285714285,
'avg_pos_uid': -2.2989690721649483,
'category': 'fine arts',
'q_length': 130,
'qid': 457,
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'answer': 'death of socrates',
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'avg_pos_uid': 35.71875,
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'answer': 'death of socrates',
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'answer': 'el greco',
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'avg_pos_qid': 76.33333333333333,
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'answer': 'el greco',
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'avg_pos_qid': 76.33333333333333,
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'category': 'fine arts',
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'answer': 'el greco',
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'avg_pos_qid': 76.33333333333333,
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'answer': 'el greco',
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'avg_pos_qid': 76.33333333333333,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 119,
'qid': 463,
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'answer': 'el greco',
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'qid': 463,
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'answer': 'el greco',
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'answer': 'andrea mantegna',
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'answer': 'edvard munch',
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'answer': 'edvard munch',
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'answer': 'edvard munch',
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'qid': 471,
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'answer': 'nicolas poussin',
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'answer': 'nicolas poussin',
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'answer': 'nicolas poussin',
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'answer': 'nicolas poussin',
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'answer': 'nicolas poussin',
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'answer': 'nicolas poussin',
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'answer': 'nicolas poussin',
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'answer': 'nicolas poussin',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'gustav klimt',
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'answer': 'venus',
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'answer': 'venus',
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'answer': 'venus',
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'answer': 'venus',
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'answer': 'john everett millais',
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'answer': 'john everett millais',
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'answer': 'john everett millais',
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'answer': 'john everett millais',
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'answer': 'john everett millais',
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'answer': 'john everett millais',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'henri rousseau',
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'answer': 'ghent altarpiece',
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'answer': 'jean auguste dominique ingres',
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'answer': 'jean auguste dominique ingres',
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'answer': 'jean auguste dominique ingres',
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'answer': 'jean auguste dominique ingres',
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{'acc_ratio_cat': 0.7865739207243017,
'answer': 'finland',
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'answer': 'finland',
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'answer': 'gustave courbet',
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'answer': 'gustave courbet',
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'answer': 'gustave courbet',
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'answer': 'gustave courbet',
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'category': 'fine arts',
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'answer': 'paolo veronese',
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'answer': 'paolo veronese',
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'answer': 'paolo veronese',
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'answer': 'paolo veronese',
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'answer': 'paolo veronese',
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'answer': 'paolo veronese',
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'answer': 'paolo veronese',
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'answer': 'paolo veronese',
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'qid': 515,
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{'acc_ratio_cat': 0.7865739207243017,
'answer': 'august strindberg',
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'category': 'literature',
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'answer': 'ghent altarpiece',
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'category': 'fine arts',
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'answer': 'ghent altarpiece',
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'avg_pos_qid': 52.666666666666664,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 93,
'qid': 527,
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'answer': 'ghent altarpiece',
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'avg_pos_qid': 52.666666666666664,
'avg_pos_uid': 49.65835411471322,
'category': 'fine arts',
'q_length': 93,
'qid': 527,
'uid': 3},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'school of athens',
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'avg_pos_qid': 76.66666666666667,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
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'qid': 536,
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'answer': 'school of athens',
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'avg_pos_qid': 76.66666666666667,
'avg_pos_uid': 51.299546142208776,
'category': 'fine arts',
'q_length': 106,
'qid': 536,
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'answer': 'school of athens',
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'avg_pos_qid': 76.66666666666667,
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'category': 'fine arts',
'q_length': 106,
'qid': 536,
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'answer': 'landscape with the fall of icarus',
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'category': 'fine arts',
'q_length': 103,
'qid': 541,
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'answer': 'republic of hungary',
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'category': 'fine arts',
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'qid': 548,
'uid': 30},
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'answer': 'republic of hungary',
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'avg_pos_qid': 35.0,
'avg_pos_uid': 35.77872340425532,
'category': 'fine arts',
'q_length': 105,
'qid': 548,
'uid': 19},
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'answer': 'republic of hungary',
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'avg_pos_qid': 35.0,
'avg_pos_uid': 19.08108108108108,
'category': 'fine arts',
'q_length': 105,
'qid': 548,
'uid': 72},
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'answer': 'republic of hungary',
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'avg_pos_qid': 35.0,
'avg_pos_uid': 55.90780141843972,
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'qid': 548,
'uid': 26},
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'answer': 'republic of hungary',
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'avg_pos_qid': 35.0,
'avg_pos_uid': 31.45751633986928,
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'uid': 12},
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'answer': 'republic of hungary',
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'avg_pos_uid': 49.725247524752476,
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'answer': 'republic of hungary',
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'avg_pos_uid': 31.233590733590734,
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'answer': 'republic of hungary',
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'answer': 'republic of hungary',
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'avg_pos_uid': 33.85839160839161,
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'answer': 'republic of hungary',
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'answer': 'republic of hungary',
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'answer': 'republic of hungary',
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'answer': 'republic of hungary',
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'answer': 'republic of hungary',
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'answer': 'republic of hungary',
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'answer': 'republic of hungary',
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'avg_pos_uid': -6.659090909090909,
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'answer': 'republic of hungary',
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'qid': 548,
'uid': 41},
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'answer': 'republic of hungary',
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'answer': 'republic of hungary',
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'category': 'fine arts',
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{'acc_ratio_cat': 0.7560975609756098,
'answer': 'edvard munch',
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'answer': 'edvard munch',
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'category': 'fine arts',
'q_length': 102,
'qid': 549,
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{'acc_ratio_cat': 0.7560975609756098,
'answer': 'jean auguste dominique ingres',
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'avg_pos_uid': 29.251351351351353,
'category': 'fine arts',
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'qid': 552,
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'answer': 'jean auguste dominique ingres',
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'avg_pos_qid': 23.8,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 132,
'qid': 552,
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'answer': 'jean auguste dominique ingres',
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'avg_pos_uid': 51.299546142208776,
'category': 'fine arts',
'q_length': 132,
'qid': 552,
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'answer': 'jean auguste dominique ingres',
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'category': 'fine arts',
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'qid': 552,
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'answer': 'jean auguste dominique ingres',
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'avg_pos_qid': 23.8,
'avg_pos_uid': 49.65835411471322,
'category': 'fine arts',
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'answer': 'pierreauguste renoir',
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'avg_pos_qid': 69.4,
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'category': 'fine arts',
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'answer': 'pierreauguste renoir',
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'avg_pos_qid': 69.4,
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'category': 'fine arts',
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'answer': 'pierreauguste renoir',
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'answer': 'pierreauguste renoir',
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'avg_pos_uid': 60.06666666666667,
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'qid': 559,
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'answer': 'pierreauguste renoir',
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'category': 'fine arts',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'qid': 564,
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'answer': 'dorothea lange',
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'category': 'fine arts',
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'qid': 564,
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'answer': 'dorothea lange',
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'avg_pos_uid': 55.6625,
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'qid': 564,
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'answer': 'dorothea lange',
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'qid': 564,
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'answer': 'dorothea lange',
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'avg_pos_uid': 38.09090909090909,
'category': 'fine arts',
'q_length': 128,
'qid': 564,
'uid': 16},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'marc chagall',
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'avg_pos_qid': 96.5,
'avg_pos_uid': 55.74681753889675,
'category': 'fine arts',
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{'acc_ratio_cat': 0.7560975609756098,
'answer': 'marc chagall',
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'avg_pos_qid': 96.5,
'avg_pos_uid': 38.577586206896555,
'category': 'fine arts',
'q_length': 144,
'qid': 566,
'uid': 14},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'diego velazquez',
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'avg_pos_qid': 36.42857142857143,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 139,
'qid': 570,
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{'acc_ratio_cat': 0.7560975609756098,
'answer': 'diego velazquez',
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'avg_pos_uid': 35.77872340425532,
'category': 'fine arts',
'q_length': 139,
'qid': 570,
'uid': 19},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'diego velazquez',
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'avg_pos_qid': 36.42857142857143,
'avg_pos_uid': 27.819887429643526,
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'qid': 570,
'uid': 23},
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'answer': 'diego velazquez',
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'avg_pos_uid': 62.46045694200352,
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'qid': 570,
'uid': 64},
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'answer': 'diego velazquez',
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'avg_pos_qid': 36.42857142857143,
'avg_pos_uid': 58.64485981308411,
'category': 'fine arts',
'q_length': 139,
'qid': 570,
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'answer': 'diego velazquez',
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'answer': 'diego velazquez',
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'answer': 'theodore gericault',
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'answer': 'theodore gericault',
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'answer': 'theodore gericault',
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'answer': 'theodore gericault',
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'answer': 'theodore gericault',
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'answer': 'john everett millais',
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'answer': 'john everett millais',
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'answer': 'john everett millais',
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'answer': 'john everett millais',
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'answer': 'john everett millais',
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'qid': 573,
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'answer': 'john everett millais',
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'qid': 573,
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'answer': 'john everett millais',
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'qid': 573,
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'answer': 'john everett millais',
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'answer': 'paolo veronese',
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'answer': 'paolo veronese',
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'qid': 577,
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'answer': 'paolo veronese',
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'category': 'fine arts',
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'qid': 577,
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'answer': 'paolo veronese',
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'category': 'fine arts',
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'answer': 'peter paul rubens',
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'category': 'fine arts',
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'qid': 580,
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'answer': 'peter paul rubens',
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'category': 'fine arts',
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'qid': 580,
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'answer': 'thomas cole',
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'avg_pos_qid': 38.625,
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'qid': 581,
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'answer': 'thomas cole',
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'answer': 'thomas cole',
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'answer': 'thomas cole',
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'answer': 'thomas cole',
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'answer': 'thomas cole',
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'answer': 'thomas cole',
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'answer': 'thomas cole',
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'answer': 'praxiteles',
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'answer': 'praxiteles',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'answer': 'titian',
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'avg_pos_uid': 41.88,
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'answer': 'titian',
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'answer': 'thomas gainsborough',
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'answer': 'thomas gainsborough',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'answer': 'watson and the shark',
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'answer': 'maurice ravel',
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'answer': 'maurice ravel',
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'answer': 'maurice ravel',
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'answer': 'maurice ravel',
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'answer': 'maurice ravel',
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'answer': 'henry purcell',
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'answer': 'henry purcell',
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'answer': 'henry purcell',
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'answer': 'henry purcell',
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'answer': 'henry purcell',
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'answer': 'henry purcell',
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'category': 'fine arts',
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'answer': 'robert schumann',
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'avg_pos_qid': 41.5,
'avg_pos_uid': 42.727659574468085,
'category': 'fine arts',
'q_length': 74,
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'answer': 'robert schumann',
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'avg_pos_qid': 41.5,
'avg_pos_uid': 49.65835411471322,
'category': 'fine arts',
'q_length': 74,
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{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
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'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 21.453488372093023,
'category': 'fine arts',
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'answer': 'samuel barber',
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'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 65,
'category': 'fine arts',
'q_length': 65,
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'uid': 153},
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'answer': 'samuel barber',
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'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 49.971377459749554,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 71},
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'answer': 'samuel barber',
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'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 48.99321266968326,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 10},
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'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 21.72222222222222,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 36},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 65,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 154},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 23.357142857142858,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 155},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 9},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 9.875,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 156},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 9},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 11.75,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 158},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 65,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 159},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 44.0,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 160},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 36.78260869565217,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 152},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 61.0,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 161},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 9},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 33.42857142857143,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 162},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'samuel barber',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 36.333333333333336,
'avg_pos_uid': 42.333333333333336,
'category': 'fine arts',
'q_length': 65,
'qid': 610,
'uid': 163},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'fidelio',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 79.8,
'avg_pos_uid': 39.55263157894737,
'category': 'literature',
'q_length': 116,
'qid': 612,
'uid': 21},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'fidelio',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 79.8,
'avg_pos_uid': 39.851063829787236,
'category': 'literature',
'q_length': 116,
'qid': 612,
'uid': 9},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'fidelio',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 79.8,
'avg_pos_uid': 36.80373831775701,
'category': 'literature',
'q_length': 116,
'qid': 612,
'uid': 6},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'fidelio',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 79.8,
'avg_pos_uid': 23.157894736842106,
'category': 'literature',
'q_length': 116,
'qid': 612,
'uid': 25},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'fidelio',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 79.8,
'avg_pos_uid': 32.4375,
'category': 'literature',
'q_length': 116,
'qid': 612,
'uid': 151},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'fidelio',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 79.8,
'avg_pos_uid': 35.71875,
'category': 'literature',
'q_length': 116,
'qid': 612,
'uid': 116},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'fidelio',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 79.8,
'avg_pos_uid': 30.973895582329316,
'category': 'literature',
'q_length': 116,
'qid': 612,
'uid': 1},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'fidelio',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 79.8,
'avg_pos_uid': 58.64485981308411,
'category': 'literature',
'q_length': 116,
'qid': 612,
'uid': 47},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'fidelio',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 79.8,
'avg_pos_uid': 42.727659574468085,
'category': 'literature',
'q_length': 116,
'qid': 612,
'uid': 30},
{'acc_ratio_cat': 0.7865739207243017,
'answer': 'fidelio',
'ave_pos_cat': 51.672628905818705,
'avg_pos_qid': 79.8,
'avg_pos_uid': 38.09090909090909,
'category': 'literature',
'q_length': 116,
'qid': 612,
'uid': 16},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'bassoon',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 57.5,
'avg_pos_uid': 42.727659574468085,
'category': 'fine arts',
'q_length': 85,
'qid': 615,
'uid': 30},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'bassoon',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 57.5,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 85,
'qid': 615,
'uid': 9},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'bela bartok',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 60.75,
'avg_pos_uid': 55.74681753889675,
'category': 'fine arts',
'q_length': 70,
'qid': 618,
'uid': 20},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'bela bartok',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 60.75,
'avg_pos_uid': 31.45751633986928,
'category': 'fine arts',
'q_length': 70,
'qid': 618,
'uid': 12},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'bela bartok',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 60.75,
'avg_pos_uid': 49.971377459749554,
'category': 'fine arts',
'q_length': 70,
'qid': 618,
'uid': 71},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'bela bartok',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 60.75,
'avg_pos_uid': 39.851063829787236,
'category': 'fine arts',
'q_length': 70,
'qid': 618,
'uid': 9},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'gustav mahler',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 14.0,
'avg_pos_uid': 50.3218085106383,
'category': 'fine arts',
'q_length': 75,
'qid': 619,
'uid': 98},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'gustav mahler',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 14.0,
'avg_pos_uid': 24.903614457831324,
'category': 'fine arts',
'q_length': 75,
'qid': 619,
'uid': 17},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'claudio monteverdi',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 40.42857142857143,
'avg_pos_uid': 42.727659574468085,
'category': 'fine arts',
'q_length': 91,
'qid': 624,
'uid': 30},
{'acc_ratio_cat': 0.7560975609756098,
'answer': 'claudio monteverdi',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 40.42857142857143,
'avg_pos_uid': 32.4375,
'category': 'fine arts',
'q_length': 91,
'qid': 624,
'uid': 151},
...]
In [15]:
def transform(X):
for index, item in enumerate(X):
uid = int(item['uid'])
qid = int(item['qid'])
# uid
if int(uid) in users:
item['acc_ratio_uid'] = users[uid]['acc_ratio_uid']
item['cat_uid'] = users[uid]['cat_uid']
else:
acc = users.select(['acc_ratio_uid'])
item['acc_ratio_uid'] = sum(acc) / float(len(acc))
item['cat_uid'] = most_pred_cat_uid
# qid
if int(qid) in questions:
item['acc_ratio_qid'] = questions[qid]['acc_ratio_qid']
item['cat_qid'] = questions[qid]['cat_qid']
else:
acc = questions.select(['acc_ratio_qid'])
item['acc_ratio_qid'] = sum(acc) / float(len(acc))
item['cat_qid'] = most_pred_cat_qid
item['uid'] = str(uid)
item['qid'] = str(qid)
In [16]:
transform(X_train)
X_train[1]
Out[16]:
{'acc_ratio_cat': 0.7560975609756098,
'acc_ratio_qid': 0.875,
'acc_ratio_uid': 0.6465863453815262,
'answer': 'thomas cole',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.0,
'avg_pos_uid': 30.973895582329316,
'cat_qid': '4',
'cat_uid': '4',
'category': 'fine arts',
'q_length': 78,
'qid': '1',
'uid': '1'}
In [17]:
from sklearn.feature_extraction import DictVectorizer
vec = DictVectorizer()
X_train_dict_vec = vec.fit_transform(X_train)
In [18]:
import multiprocessing
from sklearn import linear_model
from sklearn.cross_validation import train_test_split, cross_val_score
import math
from numpy import abs, sqrt
regressor_names = """
ElasticNetCV
"""
#for l1 in [0.5, 0.2, 0.7, 0.9]:
for l1 in [0.5]:
print ("=== ElasticNetCV RMSE", "with", l1)
for regressor in regressor_names.split():
scores = cross_val_score(getattr(linear_model, regressor)(n_jobs=3, normalize=True, l1_ratio = l1),
X_train_dict_vec, y_train,
cv=2,
scoring='mean_squared_error'
)
print (regressor, sqrt(abs(scores)).mean())
=== ElasticNetCV RMSE with 0.5
ElasticNetCV 78.9215862498
In [19]:
regression_keys = ['category', 'q_length', 'qid', 'uid', 'answer', 'avg_pos_uid', 'avg_pos_qid']
X_train, y_train = featurize(load_buzz(), group='train', sign_val=None, extra=['avg_pos'])
X_train = select(X_train, regression_keys)
X_test = featurize(load_buzz(), group='test', sign_val=None, extra=['avg_pos'])
X_test = select(X_test, regression_keys)
transform(X_train)
transform(X_test)
for item in X_train:
for key in categories[item['category']].keys():
item[key] = categories[item['category']][key]
for item in X_test:
for key in categories[item['category']].keys():
item[key] = categories[item['category']][key]
In [20]:
X_train[1]
Out[20]:
{'acc_ratio_cat': 0.7560975609756098,
'acc_ratio_qid': 0.875,
'acc_ratio_uid': 0.6465863453815262,
'answer': 'thomas cole',
'ave_pos_cat': 43.640185830429736,
'avg_pos_qid': 51.0,
'avg_pos_uid': 30.973895582329316,
'cat_qid': '4',
'cat_uid': '4',
'category': 'fine arts',
'q_length': 78,
'qid': '1',
'uid': '1'}
In [21]:
X_test[1]
Out[21]:
{'acc_ratio_cat': 0.65625,
'acc_ratio_qid': 0.6428571428571429,
'acc_ratio_uid': 0.6712328767123288,
'answer': 'david hilbert',
'ave_pos_cat': 18.712499999999999,
'avg_pos_qid': 15.571428571428571,
'avg_pos_uid': 36.31506849315068,
'cat_qid': '4',
'cat_uid': '4',
'category': 'mathematics',
'q_length': 105,
'qid': '9967',
'uid': '131'}
In [22]:
vec = DictVectorizer()
vec.fit(X_train + X_test)
X_train = vec.transform(X_train)
X_test = vec.transform(X_test)
In [23]:
for l1_ratio in [0.7]:
print('=== l1_ratio:', l1_ratio)
regressor = linear_model.ElasticNetCV(n_jobs=3, normalize=True, l1_ratio=l1_ratio)
regressor.fit(X_train, y_train)
print(regressor.coef_)
print(regressor.alpha_)
predictions = regressor.predict(X_test)
write_result(load_buzz()['test'], predictions, file_name=str(l1_ratio)+'guess.csv')
=== l1_ratio: 0.7
[ 16.41433749 25.01440438 22.47300131 ..., 7.50904894 1.28247495
4.83402545]
0.000404215283508
In [ ]:
Content source: sangheestyle/ml2015project
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