Don't forget to shuffle the input before assigning to the splits
You can use the fit
define the cross_validation function(model, target, attributes):
-take the length of attributes array
-divide length of attribute array by 5
-shuffle the data based on the index
-split attribute array into five subsets
-for each subset of the attribute array:
*assign four portions of that subset to training
*fit model to training
*assign one portion of that subset to test
*predict on test data
*score model = compare predicted y to actual y
In [92]:
import pandas as pd
%matplotlib inline
from sklearn import datasets
from sklearn import tree
from sklearn import metrics
import matplotlib.pyplot as plt
from random import shuffle
import numpy as np
In [93]:
iris = datasets.load_iris()
In [94]:
iris
Out[94]:
{'DESCR': 'Iris Plants Database\n\nNotes\n-----\nData Set Characteristics:\n :Number of Instances: 150 (50 in each of three classes)\n :Number of Attributes: 4 numeric, predictive attributes and the class\n :Attribute Information:\n - sepal length in cm\n - sepal width in cm\n - petal length in cm\n - petal width in cm\n - class:\n - Iris-Setosa\n - Iris-Versicolour\n - Iris-Virginica\n :Summary Statistics:\n\n ============== ==== ==== ======= ===== ====================\n Min Max Mean SD Class Correlation\n ============== ==== ==== ======= ===== ====================\n sepal length: 4.3 7.9 5.84 0.83 0.7826\n sepal width: 2.0 4.4 3.05 0.43 -0.4194\n petal length: 1.0 6.9 3.76 1.76 0.9490 (high!)\n petal width: 0.1 2.5 1.20 0.76 0.9565 (high!)\n ============== ==== ==== ======= ===== ====================\n\n :Missing Attribute Values: None\n :Class Distribution: 33.3% for each of 3 classes.\n :Creator: R.A. Fisher\n :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n :Date: July, 1988\n\nThis is a copy of UCI ML iris datasets.\nhttp://archive.ics.uci.edu/ml/datasets/Iris\n\nThe famous Iris database, first used by Sir R.A Fisher\n\nThis is perhaps the best known database to be found in the\npattern recognition literature. Fisher\'s paper is a classic in the field and\nis referenced frequently to this day. (See Duda & Hart, for example.) The\ndata set contains 3 classes of 50 instances each, where each class refers to a\ntype of iris plant. One class is linearly separable from the other 2; the\nlatter are NOT linearly separable from each other.\n\nReferences\n----------\n - Fisher,R.A. "The use of multiple measurements in taxonomic problems"\n Annual Eugenics, 7, Part II, 179-188 (1936); also in "Contributions to\n Mathematical Statistics" (John Wiley, NY, 1950).\n - Duda,R.O., & Hart,P.E. (1973) Pattern Classification and Scene Analysis.\n (Q327.D83) John Wiley & Sons. ISBN 0-471-22361-1. See page 218.\n - Dasarathy, B.V. (1980) "Nosing Around the Neighborhood: A New System\n Structure and Classification Rule for Recognition in Partially Exposed\n Environments". IEEE Transactions on Pattern Analysis and Machine\n Intelligence, Vol. PAMI-2, No. 1, 67-71.\n - Gates, G.W. (1972) "The Reduced Nearest Neighbor Rule". IEEE Transactions\n on Information Theory, May 1972, 431-433.\n - See also: 1988 MLC Proceedings, 54-64. Cheeseman et al"s AUTOCLASS II\n conceptual clustering system finds 3 classes in the data.\n - Many, many more ...\n',
'data': array([[ 5.1, 3.5, 1.4, 0.2],
[ 4.9, 3. , 1.4, 0.2],
[ 4.7, 3.2, 1.3, 0.2],
[ 4.6, 3.1, 1.5, 0.2],
[ 5. , 3.6, 1.4, 0.2],
[ 5.4, 3.9, 1.7, 0.4],
[ 4.6, 3.4, 1.4, 0.3],
[ 5. , 3.4, 1.5, 0.2],
[ 4.4, 2.9, 1.4, 0.2],
[ 4.9, 3.1, 1.5, 0.1],
[ 5.4, 3.7, 1.5, 0.2],
[ 4.8, 3.4, 1.6, 0.2],
[ 4.8, 3. , 1.4, 0.1],
[ 4.3, 3. , 1.1, 0.1],
[ 5.8, 4. , 1.2, 0.2],
[ 5.7, 4.4, 1.5, 0.4],
[ 5.4, 3.9, 1.3, 0.4],
[ 5.1, 3.5, 1.4, 0.3],
[ 5.7, 3.8, 1.7, 0.3],
[ 5.1, 3.8, 1.5, 0.3],
[ 5.4, 3.4, 1.7, 0.2],
[ 5.1, 3.7, 1.5, 0.4],
[ 4.6, 3.6, 1. , 0.2],
[ 5.1, 3.3, 1.7, 0.5],
[ 4.8, 3.4, 1.9, 0.2],
[ 5. , 3. , 1.6, 0.2],
[ 5. , 3.4, 1.6, 0.4],
[ 5.2, 3.5, 1.5, 0.2],
[ 5.2, 3.4, 1.4, 0.2],
[ 4.7, 3.2, 1.6, 0.2],
[ 4.8, 3.1, 1.6, 0.2],
[ 5.4, 3.4, 1.5, 0.4],
[ 5.2, 4.1, 1.5, 0.1],
[ 5.5, 4.2, 1.4, 0.2],
[ 4.9, 3.1, 1.5, 0.1],
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[ 5.1, 3.4, 1.5, 0.2],
[ 5. , 3.5, 1.3, 0.3],
[ 4.5, 2.3, 1.3, 0.3],
[ 4.4, 3.2, 1.3, 0.2],
[ 5. , 3.5, 1.6, 0.6],
[ 5.1, 3.8, 1.9, 0.4],
[ 4.8, 3. , 1.4, 0.3],
[ 5.1, 3.8, 1.6, 0.2],
[ 4.6, 3.2, 1.4, 0.2],
[ 5.3, 3.7, 1.5, 0.2],
[ 5. , 3.3, 1.4, 0.2],
[ 7. , 3.2, 4.7, 1.4],
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[ 6.9, 3.1, 4.9, 1.5],
[ 5.5, 2.3, 4. , 1.3],
[ 6.5, 2.8, 4.6, 1.5],
[ 5.7, 2.8, 4.5, 1.3],
[ 6.3, 3.3, 4.7, 1.6],
[ 4.9, 2.4, 3.3, 1. ],
[ 6.6, 2.9, 4.6, 1.3],
[ 5.2, 2.7, 3.9, 1.4],
[ 5. , 2. , 3.5, 1. ],
[ 5.9, 3. , 4.2, 1.5],
[ 6. , 2.2, 4. , 1. ],
[ 6.1, 2.9, 4.7, 1.4],
[ 5.6, 2.9, 3.6, 1.3],
[ 6.7, 3.1, 4.4, 1.4],
[ 5.6, 3. , 4.5, 1.5],
[ 5.8, 2.7, 4.1, 1. ],
[ 6.2, 2.2, 4.5, 1.5],
[ 5.6, 2.5, 3.9, 1.1],
[ 5.9, 3.2, 4.8, 1.8],
[ 6.1, 2.8, 4. , 1.3],
[ 6.3, 2.5, 4.9, 1.5],
[ 6.1, 2.8, 4.7, 1.2],
[ 6.4, 2.9, 4.3, 1.3],
[ 6.6, 3. , 4.4, 1.4],
[ 6.8, 2.8, 4.8, 1.4],
[ 6.7, 3. , 5. , 1.7],
[ 6. , 2.9, 4.5, 1.5],
[ 5.7, 2.6, 3.5, 1. ],
[ 5.5, 2.4, 3.8, 1.1],
[ 5.5, 2.4, 3.7, 1. ],
[ 5.8, 2.7, 3.9, 1.2],
[ 6. , 2.7, 5.1, 1.6],
[ 5.4, 3. , 4.5, 1.5],
[ 6. , 3.4, 4.5, 1.6],
[ 6.7, 3.1, 4.7, 1.5],
[ 6.3, 2.3, 4.4, 1.3],
[ 5.6, 3. , 4.1, 1.3],
[ 5.5, 2.5, 4. , 1.3],
[ 5.5, 2.6, 4.4, 1.2],
[ 6.1, 3. , 4.6, 1.4],
[ 5.8, 2.6, 4. , 1.2],
[ 5. , 2.3, 3.3, 1. ],
[ 5.6, 2.7, 4.2, 1.3],
[ 5.7, 3. , 4.2, 1.2],
[ 5.7, 2.9, 4.2, 1.3],
[ 6.2, 2.9, 4.3, 1.3],
[ 5.1, 2.5, 3. , 1.1],
[ 5.7, 2.8, 4.1, 1.3],
[ 6.3, 3.3, 6. , 2.5],
[ 5.8, 2.7, 5.1, 1.9],
[ 7.1, 3. , 5.9, 2.1],
[ 6.3, 2.9, 5.6, 1.8],
[ 6.5, 3. , 5.8, 2.2],
[ 7.6, 3. , 6.6, 2.1],
[ 4.9, 2.5, 4.5, 1.7],
[ 7.3, 2.9, 6.3, 1.8],
[ 6.7, 2.5, 5.8, 1.8],
[ 7.2, 3.6, 6.1, 2.5],
[ 6.5, 3.2, 5.1, 2. ],
[ 6.4, 2.7, 5.3, 1.9],
[ 6.8, 3. , 5.5, 2.1],
[ 5.7, 2.5, 5. , 2. ],
[ 5.8, 2.8, 5.1, 2.4],
[ 6.4, 3.2, 5.3, 2.3],
[ 6.5, 3. , 5.5, 1.8],
[ 7.7, 3.8, 6.7, 2.2],
[ 7.7, 2.6, 6.9, 2.3],
[ 6. , 2.2, 5. , 1.5],
[ 6.9, 3.2, 5.7, 2.3],
[ 5.6, 2.8, 4.9, 2. ],
[ 7.7, 2.8, 6.7, 2. ],
[ 6.3, 2.7, 4.9, 1.8],
[ 6.7, 3.3, 5.7, 2.1],
[ 7.2, 3.2, 6. , 1.8],
[ 6.2, 2.8, 4.8, 1.8],
[ 6.1, 3. , 4.9, 1.8],
[ 6.4, 2.8, 5.6, 2.1],
[ 7.2, 3. , 5.8, 1.6],
[ 7.4, 2.8, 6.1, 1.9],
[ 7.9, 3.8, 6.4, 2. ],
[ 6.4, 2.8, 5.6, 2.2],
[ 6.3, 2.8, 5.1, 1.5],
[ 6.1, 2.6, 5.6, 1.4],
[ 7.7, 3. , 6.1, 2.3],
[ 6.3, 3.4, 5.6, 2.4],
[ 6.4, 3.1, 5.5, 1.8],
[ 6. , 3. , 4.8, 1.8],
[ 6.9, 3.1, 5.4, 2.1],
[ 6.7, 3.1, 5.6, 2.4],
[ 6.9, 3.1, 5.1, 2.3],
[ 5.8, 2.7, 5.1, 1.9],
[ 6.8, 3.2, 5.9, 2.3],
[ 6.7, 3.3, 5.7, 2.5],
[ 6.7, 3. , 5.2, 2.3],
[ 6.3, 2.5, 5. , 1.9],
[ 6.5, 3. , 5.2, 2. ],
[ 6.2, 3.4, 5.4, 2.3],
[ 5.9, 3. , 5.1, 1.8]]),
'feature_names': ['sepal length (cm)',
'sepal width (cm)',
'petal length (cm)',
'petal width (cm)'],
'target': array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]),
'target_names': array(['setosa', 'versicolor', 'virginica'],
dtype='<U10')}
In [95]:
iris.keys()
Out[95]:
dict_keys(['DESCR', 'target_names', 'target', 'feature_names', 'data'])
In [96]:
#extract our x and y
x = iris.data[:,2:]
y = iris.target
In [97]:
#we merge them
my_data = np.column_stack([x,y])
In [98]:
my_data
Out[98]:
array([[ 1.4, 0.2, 0. ],
[ 1.4, 0.2, 0. ],
[ 1.3, 0.2, 0. ],
[ 1.5, 0.2, 0. ],
[ 1.4, 0.2, 0. ],
[ 1.7, 0.4, 0. ],
[ 1.4, 0.3, 0. ],
[ 1.5, 0.2, 0. ],
[ 1.4, 0.2, 0. ],
[ 1.5, 0.1, 0. ],
[ 1.5, 0.2, 0. ],
[ 1.6, 0.2, 0. ],
[ 1.4, 0.1, 0. ],
[ 1.1, 0.1, 0. ],
[ 1.2, 0.2, 0. ],
[ 1.5, 0.4, 0. ],
[ 1.3, 0.4, 0. ],
[ 1.4, 0.3, 0. ],
[ 1.7, 0.3, 0. ],
[ 1.5, 0.3, 0. ],
[ 1.7, 0.2, 0. ],
[ 1.5, 0.4, 0. ],
[ 1. , 0.2, 0. ],
[ 1.7, 0.5, 0. ],
[ 1.9, 0.2, 0. ],
[ 1.6, 0.2, 0. ],
[ 1.6, 0.4, 0. ],
[ 1.5, 0.2, 0. ],
[ 1.4, 0.2, 0. ],
[ 1.6, 0.2, 0. ],
[ 1.6, 0.2, 0. ],
[ 1.5, 0.4, 0. ],
[ 1.5, 0.1, 0. ],
[ 1.4, 0.2, 0. ],
[ 1.5, 0.1, 0. ],
[ 1.2, 0.2, 0. ],
[ 1.3, 0.2, 0. ],
[ 1.5, 0.1, 0. ],
[ 1.3, 0.2, 0. ],
[ 1.5, 0.2, 0. ],
[ 1.3, 0.3, 0. ],
[ 1.3, 0.3, 0. ],
[ 1.3, 0.2, 0. ],
[ 1.6, 0.6, 0. ],
[ 1.9, 0.4, 0. ],
[ 1.4, 0.3, 0. ],
[ 1.6, 0.2, 0. ],
[ 1.4, 0.2, 0. ],
[ 1.5, 0.2, 0. ],
[ 1.4, 0.2, 0. ],
[ 4.7, 1.4, 1. ],
[ 4.5, 1.5, 1. ],
[ 4.9, 1.5, 1. ],
[ 4. , 1.3, 1. ],
[ 4.6, 1.5, 1. ],
[ 4.5, 1.3, 1. ],
[ 4.7, 1.6, 1. ],
[ 3.3, 1. , 1. ],
[ 4.6, 1.3, 1. ],
[ 3.9, 1.4, 1. ],
[ 3.5, 1. , 1. ],
[ 4.2, 1.5, 1. ],
[ 4. , 1. , 1. ],
[ 4.7, 1.4, 1. ],
[ 3.6, 1.3, 1. ],
[ 4.4, 1.4, 1. ],
[ 4.5, 1.5, 1. ],
[ 4.1, 1. , 1. ],
[ 4.5, 1.5, 1. ],
[ 3.9, 1.1, 1. ],
[ 4.8, 1.8, 1. ],
[ 4. , 1.3, 1. ],
[ 4.9, 1.5, 1. ],
[ 4.7, 1.2, 1. ],
[ 4.3, 1.3, 1. ],
[ 4.4, 1.4, 1. ],
[ 4.8, 1.4, 1. ],
[ 5. , 1.7, 1. ],
[ 4.5, 1.5, 1. ],
[ 3.5, 1. , 1. ],
[ 3.8, 1.1, 1. ],
[ 3.7, 1. , 1. ],
[ 3.9, 1.2, 1. ],
[ 5.1, 1.6, 1. ],
[ 4.5, 1.5, 1. ],
[ 4.5, 1.6, 1. ],
[ 4.7, 1.5, 1. ],
[ 4.4, 1.3, 1. ],
[ 4.1, 1.3, 1. ],
[ 4. , 1.3, 1. ],
[ 4.4, 1.2, 1. ],
[ 4.6, 1.4, 1. ],
[ 4. , 1.2, 1. ],
[ 3.3, 1. , 1. ],
[ 4.2, 1.3, 1. ],
[ 4.2, 1.2, 1. ],
[ 4.2, 1.3, 1. ],
[ 4.3, 1.3, 1. ],
[ 3. , 1.1, 1. ],
[ 4.1, 1.3, 1. ],
[ 6. , 2.5, 2. ],
[ 5.1, 1.9, 2. ],
[ 5.9, 2.1, 2. ],
[ 5.6, 1.8, 2. ],
[ 5.8, 2.2, 2. ],
[ 6.6, 2.1, 2. ],
[ 4.5, 1.7, 2. ],
[ 6.3, 1.8, 2. ],
[ 5.8, 1.8, 2. ],
[ 6.1, 2.5, 2. ],
[ 5.1, 2. , 2. ],
[ 5.3, 1.9, 2. ],
[ 5.5, 2.1, 2. ],
[ 5. , 2. , 2. ],
[ 5.1, 2.4, 2. ],
[ 5.3, 2.3, 2. ],
[ 5.5, 1.8, 2. ],
[ 6.7, 2.2, 2. ],
[ 6.9, 2.3, 2. ],
[ 5. , 1.5, 2. ],
[ 5.7, 2.3, 2. ],
[ 4.9, 2. , 2. ],
[ 6.7, 2. , 2. ],
[ 4.9, 1.8, 2. ],
[ 5.7, 2.1, 2. ],
[ 6. , 1.8, 2. ],
[ 4.8, 1.8, 2. ],
[ 4.9, 1.8, 2. ],
[ 5.6, 2.1, 2. ],
[ 5.8, 1.6, 2. ],
[ 6.1, 1.9, 2. ],
[ 6.4, 2. , 2. ],
[ 5.6, 2.2, 2. ],
[ 5.1, 1.5, 2. ],
[ 5.6, 1.4, 2. ],
[ 6.1, 2.3, 2. ],
[ 5.6, 2.4, 2. ],
[ 5.5, 1.8, 2. ],
[ 4.8, 1.8, 2. ],
[ 5.4, 2.1, 2. ],
[ 5.6, 2.4, 2. ],
[ 5.1, 2.3, 2. ],
[ 5.1, 1.9, 2. ],
[ 5.9, 2.3, 2. ],
[ 5.7, 2.5, 2. ],
[ 5.2, 2.3, 2. ],
[ 5. , 1.9, 2. ],
[ 5.2, 2. , 2. ],
[ 5.4, 2.3, 2. ],
[ 5.1, 1.8, 2. ]])
In [99]:
#we shuffle the dataset
np.random.shuffle(my_data)
In [100]:
#let's check if the data looks different now..
my_data
Out[100]:
array([[ 1.5, 0.4, 0. ],
[ 4.9, 2. , 2. ],
[ 4.5, 1.5, 1. ],
[ 1.4, 0.2, 0. ],
[ 5.9, 2.1, 2. ],
[ 5.8, 1.6, 2. ],
[ 1.2, 0.2, 0. ],
[ 3.9, 1.1, 1. ],
[ 3.6, 1.3, 1. ],
[ 4.1, 1.3, 1. ],
[ 1.6, 0.2, 0. ],
[ 6.7, 2. , 2. ],
[ 5.2, 2.3, 2. ],
[ 5.3, 2.3, 2. ],
[ 3. , 1.1, 1. ],
[ 5. , 1.9, 2. ],
[ 1.3, 0.4, 0. ],
[ 5.6, 2.4, 2. ],
[ 5.5, 1.8, 2. ],
[ 4.3, 1.3, 1. ],
[ 5.4, 2.3, 2. ],
[ 1.5, 0.1, 0. ],
[ 1.9, 0.4, 0. ],
[ 6. , 2.5, 2. ],
[ 1.4, 0.2, 0. ],
[ 5.6, 2.4, 2. ],
[ 1.5, 0.1, 0. ],
[ 3.5, 1. , 1. ],
[ 4.3, 1.3, 1. ],
[ 1.3, 0.3, 0. ],
[ 1.6, 0.2, 0. ],
[ 1.5, 0.2, 0. ],
[ 4.2, 1.3, 1. ],
[ 1. , 0.2, 0. ],
[ 5.6, 2.1, 2. ],
[ 1.4, 0.3, 0. ],
[ 4.7, 1.4, 1. ],
[ 1.6, 0.2, 0. ],
[ 3.9, 1.4, 1. ],
[ 1.7, 0.5, 0. ],
[ 6.6, 2.1, 2. ],
[ 4.6, 1.5, 1. ],
[ 4.2, 1.3, 1. ],
[ 6.1, 2.5, 2. ],
[ 4.8, 1.8, 1. ],
[ 4. , 1.3, 1. ],
[ 5. , 2. , 2. ],
[ 4. , 1.3, 1. ],
[ 4.1, 1. , 1. ],
[ 6. , 1.8, 2. ],
[ 1.5, 0.2, 0. ],
[ 1.4, 0.1, 0. ],
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[ 4.1, 1.3, 1. ],
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[ 1.5, 0.4, 0. ],
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[ 1.6, 0.2, 0. ],
[ 1.5, 0.2, 0. ],
[ 1.7, 0.2, 0. ],
[ 6.7, 2.2, 2. ],
[ 4.4, 1.2, 1. ],
[ 1.7, 0.4, 0. ],
[ 4. , 1.3, 1. ],
[ 1.3, 0.2, 0. ],
[ 4.5, 1.5, 1. ],
[ 5.3, 1.9, 2. ],
[ 3.5, 1. , 1. ],
[ 4.8, 1.8, 2. ],
[ 4.9, 1.5, 1. ],
[ 5.5, 1.8, 2. ],
[ 1.4, 0.2, 0. ],
[ 1.3, 0.2, 0. ],
[ 3.7, 1. , 1. ],
[ 6.4, 2. , 2. ],
[ 1.9, 0.2, 0. ],
[ 1.4, 0.2, 0. ],
[ 1.5, 0.3, 0. ],
[ 5.8, 2.2, 2. ],
[ 5.9, 2.3, 2. ],
[ 4.5, 1.5, 1. ],
[ 4.7, 1.6, 1. ],
[ 4.9, 1.5, 1. ],
[ 6.3, 1.8, 2. ],
[ 4.6, 1.3, 1. ],
[ 1.6, 0.4, 0. ],
[ 4.5, 1.3, 1. ],
[ 1.7, 0.3, 0. ],
[ 1.2, 0.2, 0. ],
[ 5.8, 1.8, 2. ],
[ 4.7, 1.4, 1. ],
[ 4.5, 1.5, 1. ],
[ 4.5, 1.5, 1. ],
[ 5.1, 1.9, 2. ],
[ 1.6, 0.2, 0. ],
[ 4.9, 1.8, 2. ],
[ 1.4, 0.2, 0. ],
[ 6.1, 1.9, 2. ],
[ 1.3, 0.3, 0. ],
[ 5.1, 1.6, 1. ],
[ 1.4, 0.3, 0. ],
[ 4.8, 1.4, 1. ],
[ 5.6, 1.4, 2. ],
[ 5. , 1.7, 1. ],
[ 6.9, 2.3, 2. ],
[ 1.6, 0.6, 0. ],
[ 4.5, 1.6, 1. ],
[ 6.1, 2.3, 2. ],
[ 4.8, 1.8, 2. ],
[ 1.1, 0.1, 0. ],
[ 3.9, 1.2, 1. ],
[ 1.3, 0.2, 0. ],
[ 4.7, 1.2, 1. ],
[ 1.4, 0.3, 0. ],
[ 4.2, 1.2, 1. ],
[ 4.4, 1.4, 1. ],
[ 4.4, 1.4, 1. ],
[ 1.5, 0.4, 0. ],
[ 4.9, 1.8, 2. ],
[ 5.5, 2.1, 2. ],
[ 5.2, 2. , 2. ],
[ 4.2, 1.5, 1. ],
[ 5.7, 2.3, 2. ],
[ 5.1, 2. , 2. ],
[ 5.6, 1.8, 2. ],
[ 1.3, 0.2, 0. ],
[ 4. , 1. , 1. ],
[ 4. , 1.2, 1. ],
[ 3.3, 1. , 1. ],
[ 5.7, 2.1, 2. ],
[ 5.4, 2.1, 2. ],
[ 5.6, 2.2, 2. ],
[ 4.5, 1.7, 2. ],
[ 5. , 1.5, 2. ],
[ 1.5, 0.1, 0. ],
[ 1.4, 0.2, 0. ],
[ 5.1, 1.5, 2. ],
[ 1.5, 0.2, 0. ],
[ 5.1, 2.3, 2. ],
[ 5.1, 1.9, 2. ],
[ 4.4, 1.3, 1. ],
[ 1.4, 0.2, 0. ],
[ 3.3, 1. , 1. ],
[ 5.1, 2.4, 2. ],
[ 1.5, 0.2, 0. ],
[ 1.4, 0.2, 0. ],
[ 5.7, 2.5, 2. ],
[ 4.6, 1.4, 1. ],
[ 5.1, 1.8, 2. ],
[ 3.8, 1.1, 1. ]])
In [101]:
#this is my attributes array
my_data[:,:2]
Out[101]:
array([[ 1.5, 0.4],
[ 4.9, 2. ],
[ 4.5, 1.5],
[ 1.4, 0.2],
[ 5.9, 2.1],
[ 5.8, 1.6],
[ 1.2, 0.2],
[ 3.9, 1.1],
[ 3.6, 1.3],
[ 4.1, 1.3],
[ 1.6, 0.2],
[ 6.7, 2. ],
[ 5.2, 2.3],
[ 5.3, 2.3],
[ 3. , 1.1],
[ 5. , 1.9],
[ 1.3, 0.4],
[ 5.6, 2.4],
[ 5.5, 1.8],
[ 4.3, 1.3],
[ 5.4, 2.3],
[ 1.5, 0.1],
[ 1.9, 0.4],
[ 6. , 2.5],
[ 1.4, 0.2],
[ 5.6, 2.4],
[ 1.5, 0.1],
[ 3.5, 1. ],
[ 4.3, 1.3],
[ 1.3, 0.3],
[ 1.6, 0.2],
[ 1.5, 0.2],
[ 4.2, 1.3],
[ 1. , 0.2],
[ 5.6, 2.1],
[ 1.4, 0.3],
[ 4.7, 1.4],
[ 1.6, 0.2],
[ 3.9, 1.4],
[ 1.7, 0.5],
[ 6.6, 2.1],
[ 4.6, 1.5],
[ 4.2, 1.3],
[ 6.1, 2.5],
[ 4.8, 1.8],
[ 4. , 1.3],
[ 5. , 2. ],
[ 4. , 1.3],
[ 4.1, 1. ],
[ 6. , 1.8],
[ 1.5, 0.2],
[ 1.4, 0.1],
[ 1.5, 0.2],
[ 4.1, 1.3],
[ 4.7, 1.5],
[ 1.5, 0.4],
[ 1.5, 0.1],
[ 1.6, 0.2],
[ 1.5, 0.2],
[ 1.7, 0.2],
[ 6.7, 2.2],
[ 4.4, 1.2],
[ 1.7, 0.4],
[ 4. , 1.3],
[ 1.3, 0.2],
[ 4.5, 1.5],
[ 5.3, 1.9],
[ 3.5, 1. ],
[ 4.8, 1.8],
[ 4.9, 1.5],
[ 5.5, 1.8],
[ 1.4, 0.2],
[ 1.3, 0.2],
[ 3.7, 1. ],
[ 6.4, 2. ],
[ 1.9, 0.2],
[ 1.4, 0.2],
[ 1.5, 0.3],
[ 5.8, 2.2],
[ 5.9, 2.3],
[ 4.5, 1.5],
[ 4.7, 1.6],
[ 4.9, 1.5],
[ 6.3, 1.8],
[ 4.6, 1.3],
[ 1.6, 0.4],
[ 4.5, 1.3],
[ 1.7, 0.3],
[ 1.2, 0.2],
[ 5.8, 1.8],
[ 4.7, 1.4],
[ 4.5, 1.5],
[ 4.5, 1.5],
[ 5.1, 1.9],
[ 1.6, 0.2],
[ 4.9, 1.8],
[ 1.4, 0.2],
[ 6.1, 1.9],
[ 1.3, 0.3],
[ 5.1, 1.6],
[ 1.4, 0.3],
[ 4.8, 1.4],
[ 5.6, 1.4],
[ 5. , 1.7],
[ 6.9, 2.3],
[ 1.6, 0.6],
[ 4.5, 1.6],
[ 6.1, 2.3],
[ 4.8, 1.8],
[ 1.1, 0.1],
[ 3.9, 1.2],
[ 1.3, 0.2],
[ 4.7, 1.2],
[ 1.4, 0.3],
[ 4.2, 1.2],
[ 4.4, 1.4],
[ 4.4, 1.4],
[ 1.5, 0.4],
[ 4.9, 1.8],
[ 5.5, 2.1],
[ 5.2, 2. ],
[ 4.2, 1.5],
[ 5.7, 2.3],
[ 5.1, 2. ],
[ 5.6, 1.8],
[ 1.3, 0.2],
[ 4. , 1. ],
[ 4. , 1.2],
[ 3.3, 1. ],
[ 5.7, 2.1],
[ 5.4, 2.1],
[ 5.6, 2.2],
[ 4.5, 1.7],
[ 5. , 1.5],
[ 1.5, 0.1],
[ 1.4, 0.2],
[ 5.1, 1.5],
[ 1.5, 0.2],
[ 5.1, 2.3],
[ 5.1, 1.9],
[ 4.4, 1.3],
[ 1.4, 0.2],
[ 3.3, 1. ],
[ 5.1, 2.4],
[ 1.5, 0.2],
[ 1.4, 0.2],
[ 5.7, 2.5],
[ 4.6, 1.4],
[ 5.1, 1.8],
[ 3.8, 1.1]])
In [102]:
my_data
Out[102]:
array([[ 1.5, 0.4, 0. ],
[ 4.9, 2. , 2. ],
[ 4.5, 1.5, 1. ],
[ 1.4, 0.2, 0. ],
[ 5.9, 2.1, 2. ],
[ 5.8, 1.6, 2. ],
[ 1.2, 0.2, 0. ],
[ 3.9, 1.1, 1. ],
[ 3.6, 1.3, 1. ],
[ 4.1, 1.3, 1. ],
[ 1.6, 0.2, 0. ],
[ 6.7, 2. , 2. ],
[ 5.2, 2.3, 2. ],
[ 5.3, 2.3, 2. ],
[ 3. , 1.1, 1. ],
[ 5. , 1.9, 2. ],
[ 1.3, 0.4, 0. ],
[ 5.6, 2.4, 2. ],
[ 5.5, 1.8, 2. ],
[ 4.3, 1.3, 1. ],
[ 5.4, 2.3, 2. ],
[ 1.5, 0.1, 0. ],
[ 1.9, 0.4, 0. ],
[ 6. , 2.5, 2. ],
[ 1.4, 0.2, 0. ],
[ 5.6, 2.4, 2. ],
[ 1.5, 0.1, 0. ],
[ 3.5, 1. , 1. ],
[ 4.3, 1.3, 1. ],
[ 1.3, 0.3, 0. ],
[ 1.6, 0.2, 0. ],
[ 1.5, 0.2, 0. ],
[ 4.2, 1.3, 1. ],
[ 1. , 0.2, 0. ],
[ 5.6, 2.1, 2. ],
[ 1.4, 0.3, 0. ],
[ 4.7, 1.4, 1. ],
[ 1.6, 0.2, 0. ],
[ 3.9, 1.4, 1. ],
[ 1.7, 0.5, 0. ],
[ 6.6, 2.1, 2. ],
[ 4.6, 1.5, 1. ],
[ 4.2, 1.3, 1. ],
[ 6.1, 2.5, 2. ],
[ 4.8, 1.8, 1. ],
[ 4. , 1.3, 1. ],
[ 5. , 2. , 2. ],
[ 4. , 1.3, 1. ],
[ 4.1, 1. , 1. ],
[ 6. , 1.8, 2. ],
[ 1.5, 0.2, 0. ],
[ 1.4, 0.1, 0. ],
[ 1.5, 0.2, 0. ],
[ 4.1, 1.3, 1. ],
[ 4.7, 1.5, 1. ],
[ 1.5, 0.4, 0. ],
[ 1.5, 0.1, 0. ],
[ 1.6, 0.2, 0. ],
[ 1.5, 0.2, 0. ],
[ 1.7, 0.2, 0. ],
[ 6.7, 2.2, 2. ],
[ 4.4, 1.2, 1. ],
[ 1.7, 0.4, 0. ],
[ 4. , 1.3, 1. ],
[ 1.3, 0.2, 0. ],
[ 4.5, 1.5, 1. ],
[ 5.3, 1.9, 2. ],
[ 3.5, 1. , 1. ],
[ 4.8, 1.8, 2. ],
[ 4.9, 1.5, 1. ],
[ 5.5, 1.8, 2. ],
[ 1.4, 0.2, 0. ],
[ 1.3, 0.2, 0. ],
[ 3.7, 1. , 1. ],
[ 6.4, 2. , 2. ],
[ 1.9, 0.2, 0. ],
[ 1.4, 0.2, 0. ],
[ 1.5, 0.3, 0. ],
[ 5.8, 2.2, 2. ],
[ 5.9, 2.3, 2. ],
[ 4.5, 1.5, 1. ],
[ 4.7, 1.6, 1. ],
[ 4.9, 1.5, 1. ],
[ 6.3, 1.8, 2. ],
[ 4.6, 1.3, 1. ],
[ 1.6, 0.4, 0. ],
[ 4.5, 1.3, 1. ],
[ 1.7, 0.3, 0. ],
[ 1.2, 0.2, 0. ],
[ 5.8, 1.8, 2. ],
[ 4.7, 1.4, 1. ],
[ 4.5, 1.5, 1. ],
[ 4.5, 1.5, 1. ],
[ 5.1, 1.9, 2. ],
[ 1.6, 0.2, 0. ],
[ 4.9, 1.8, 2. ],
[ 1.4, 0.2, 0. ],
[ 6.1, 1.9, 2. ],
[ 1.3, 0.3, 0. ],
[ 5.1, 1.6, 1. ],
[ 1.4, 0.3, 0. ],
[ 4.8, 1.4, 1. ],
[ 5.6, 1.4, 2. ],
[ 5. , 1.7, 1. ],
[ 6.9, 2.3, 2. ],
[ 1.6, 0.6, 0. ],
[ 4.5, 1.6, 1. ],
[ 6.1, 2.3, 2. ],
[ 4.8, 1.8, 2. ],
[ 1.1, 0.1, 0. ],
[ 3.9, 1.2, 1. ],
[ 1.3, 0.2, 0. ],
[ 4.7, 1.2, 1. ],
[ 1.4, 0.3, 0. ],
[ 4.2, 1.2, 1. ],
[ 4.4, 1.4, 1. ],
[ 4.4, 1.4, 1. ],
[ 1.5, 0.4, 0. ],
[ 4.9, 1.8, 2. ],
[ 5.5, 2.1, 2. ],
[ 5.2, 2. , 2. ],
[ 4.2, 1.5, 1. ],
[ 5.7, 2.3, 2. ],
[ 5.1, 2. , 2. ],
[ 5.6, 1.8, 2. ],
[ 1.3, 0.2, 0. ],
[ 4. , 1. , 1. ],
[ 4. , 1.2, 1. ],
[ 3.3, 1. , 1. ],
[ 5.7, 2.1, 2. ],
[ 5.4, 2.1, 2. ],
[ 5.6, 2.2, 2. ],
[ 4.5, 1.7, 2. ],
[ 5. , 1.5, 2. ],
[ 1.5, 0.1, 0. ],
[ 1.4, 0.2, 0. ],
[ 5.1, 1.5, 2. ],
[ 1.5, 0.2, 0. ],
[ 5.1, 2.3, 2. ],
[ 5.1, 1.9, 2. ],
[ 4.4, 1.3, 1. ],
[ 1.4, 0.2, 0. ],
[ 3.3, 1. , 1. ],
[ 5.1, 2.4, 2. ],
[ 1.5, 0.2, 0. ],
[ 1.4, 0.2, 0. ],
[ 5.7, 2.5, 2. ],
[ 4.6, 1.4, 1. ],
[ 5.1, 1.8, 2. ],
[ 3.8, 1.1, 1. ]])
In [103]:
#we figure out how long is our array
array_length= int(len(my_data) / 5)
n= array_length
In [104]:
#then we can divide it in 5 subsets, we found this online, still note sure what each line of code does.
def chunks(l, n):
n = max(1, n)
return [l[i:i + n] for i in range(0, len(l), n)]
In [105]:
#now im checking to see if I have 5 subsets by calling the first one.
subsets= chunks(my_data,n)
subsets[1]
Out[105]:
array([[ 1.6, 0.2, 0. ],
[ 1.5, 0.2, 0. ],
[ 4.2, 1.3, 1. ],
[ 1. , 0.2, 0. ],
[ 5.6, 2.1, 2. ],
[ 1.4, 0.3, 0. ],
[ 4.7, 1.4, 1. ],
[ 1.6, 0.2, 0. ],
[ 3.9, 1.4, 1. ],
[ 1.7, 0.5, 0. ],
[ 6.6, 2.1, 2. ],
[ 4.6, 1.5, 1. ],
[ 4.2, 1.3, 1. ],
[ 6.1, 2.5, 2. ],
[ 4.8, 1.8, 1. ],
[ 4. , 1.3, 1. ],
[ 5. , 2. , 2. ],
[ 4. , 1.3, 1. ],
[ 4.1, 1. , 1. ],
[ 6. , 1.8, 2. ],
[ 1.5, 0.2, 0. ],
[ 1.4, 0.1, 0. ],
[ 1.5, 0.2, 0. ],
[ 4.1, 1.3, 1. ],
[ 4.7, 1.5, 1. ],
[ 1.5, 0.4, 0. ],
[ 1.5, 0.1, 0. ],
[ 1.6, 0.2, 0. ],
[ 1.5, 0.2, 0. ],
[ 1.7, 0.2, 0. ]])
In [106]:
subsets[0][:,2:]
Out[106]:
array([[ 0.],
[ 2.],
[ 1.],
[ 0.],
[ 2.],
[ 2.],
[ 0.],
[ 1.],
[ 1.],
[ 1.],
[ 0.],
[ 2.],
[ 2.],
[ 2.],
[ 1.],
[ 2.],
[ 0.],
[ 2.],
[ 2.],
[ 1.],
[ 2.],
[ 0.],
[ 0.],
[ 2.],
[ 0.],
[ 2.],
[ 0.],
[ 1.],
[ 1.],
[ 0.]])
In [107]:
dt = tree.DecisionTreeClassifier()
In [108]:
# for the following part I must give credit to Barney! He was the one who figured it out.
In [111]:
average_list = []
for item in subsets:
x_chunks= item[:,:2]
y_chunks= item[:,2:]
for x, y in zip(x_chunks, y_chunks):
x_test = list(x_chunks).pop(0)
x_train = x_chunks[:] #sum(x_chunks, [])
list(x_chunks).append(x_test)
y_test = list(y_chunks).pop(0)
y_train = y_chunks[:]#sum(y_chunks, [])
list(y_chunks).append(y_test)
#print("trainers: ", x_train, y_train)
dt = dt.fit(x_train,y_train)
y_pred= dt.predict(x_test)
accuracy = metrics.accuracy_score(y_test, y_pred)
average_list.append(accuracy)
print(average_list)
[1.0]
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
/usr/local/lib/python3.5/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
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Content source: ledeprogram/algorithms
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