In [5]:
#importing pandas, scikit-learn package and the StandardScaler package
import numpy as np
from sklearn.preprocessing import StandardScaler
import pandas
import warnings
warnings.filterwarnings('ignore')
#reading Zoo Dataset from csv file.
zoo = r'C:\Users\priyu\Machine-Learning\zoo-animal-classification\zoo.csv'
#creating a training set
training_set = pandas.read_csv(zoo,index_col = False)
#zoo_class_set = pandas.read_csv(zoo_class, index_col = False)
zoo_data_df = training_set[['hair','feathers','eggs','milk','airborne','aquatic','predator','toothed','backbone','breathes','venomous','fins','legs','tail','domestic','catsize']]
zoo_target_df = training_set[['class_type']]
zoo_target = zoo_target_df.values
zoo_data = zoo_data_df.values
#implementing the methods of Logistic Regression
m=LogisticRegression()
#fitting the model using the given training data
m.fit(zoo_data,zoo_target)
Out[5]:
LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,
penalty='l2', random_state=None, solver='liblinear', tol=0.0001,
verbose=0, warm_start=False)
In [7]:
#decision_function - to predict confidence scores (signed distance of that sample to the hyperplane) for examples.
m.decision_function(zoo_data)
Out[7]:
array([[ 3.52906187, -5.19639759, -4.10022657, -7.57276213,
-3.25314461, -3.94475433, -4.12258643],
[ 3.65807917, -4.44918091, -3.74851715, -6.69493065,
-4.24528791, -4.10430859, -5.60343024],
[ -3.24999877, -3.0461478 , -2.3959448 , 1.70226423,
-2.7628028 , -6.70606849, -2.9730526 ],
[ 3.52906187, -5.19639759, -4.10022657, -7.57276213,
-3.25314461, -3.94475433, -4.12258643],
[ 3.46684868, -4.67804395, -3.66700067, -7.25329172,
-4.55903155, -5.24524421, -4.92245113],
[ 3.65807917, -4.44918091, -3.74851715, -6.69493065,
-4.24528791, -4.10430859, -5.60343024],
[ 3.72434103, -4.40455426, -4.07463453, -6.6651427 ,
-4.55841724, -4.24384257, -5.79315 ],
[ -2.99250642, -2.77265812, -2.80357866, 2.29041325,
-2.76218849, -5.70466684, -3.84375146],
[ -3.24999877, -3.0461478 , -2.3959448 , 1.70226423,
-2.7628028 , -6.70606849, -2.9730526 ],
[ 3.02021978, -5.02637116, -4.15943652, -6.91653216,
-2.43349011, -2.32027606, -4.68893895],
[ 3.46684868, -4.67804395, -3.66700067, -7.25329172,
-4.55903155, -5.24524421, -4.92245113],
[ -3.73748756, 2.54189199, -3.23836166, -4.08668546,
-4.14561859, -3.03140771, -4.71340623],
[ -3.24999877, -3.0461478 , -2.3959448 , 1.70226423,
-2.7628028 , -6.70606849, -2.9730526 ],
[ -2.9552488 , -1.30836426, -1.16631197, -0.84932277,
-2.2788517 , -2.35731519, 0.99745722],
[ -3.89710314, -3.45080078, -3.6936198 , -4.64338344,
-1.75633016, -2.07681731, 1.21862572],
[ -4.14209839, -4.37640518, -4.42989776, -6.74938674,
-1.82878718, -1.40635737, 1.17978941],
[ -3.9949799 , 2.2684023 , -2.8307278 , -4.67483448,
-4.1462329 , -4.03280936, -3.84270736],
[ 3.65807917, -4.44918091, -3.74851715, -6.69493065,
-4.24528791, -4.10430859, -5.60343024],
[ -2.48366432, -2.94268454, -2.7443687 , 1.63418328,
-3.58184299, -7.32914512, -3.27739895],
[ 1.81286031, -3.16866177, -3.35460366, -1.1429981 ,
-3.6583356 , -7.78301728, -4.41366931],
[ -3.73748756, 2.54189199, -3.23836166, -4.08668546,
-4.14561859, -3.03140771, -4.71340623],
[ -4.25561325, 2.20603762, -3.96699621, -3.69852748,
-3.16505369, -3.95229575, -4.22484534],
[ 3.65807917, -4.44918091, -3.74851715, -6.69493065,
-4.24528791, -4.10430859, -5.60343024],
[ -3.03741497, 2.6007286 , -3.2606682 , -4.18455436,
-4.65152945, -3.51495036, -4.82803282],
[ -3.22093734, -3.6217074 , -3.44477914, -8.22473745,
-1.90136108, 0.750211 , -0.59199405],
[ -3.11838525, -4.44035002, -3.21568335, -5.66520666,
-0.51903969, -4.08246767, -2.50229688],
[ -3.66112457, -4.83965517, -2.62766275, -6.19305932,
-0.4806647 , -4.08194854, -2.21028438],
[ 2.59623937, -2.59532607, -3.39009042, -4.78284264,
-3.97052203, -3.40319247, -6.32930861],
[ 3.65807917, -4.44918091, -3.74851715, -6.69493065,
-4.24528791, -4.10430859, -5.60343024],
[ 3.84031898, -4.22616654, -3.69006599, -5.43697087,
-3.49381693, -4.75474826, -4.27346988],
[ -3.76143795, -2.58999369, -4.17105427, -8.48673368,
-2.5180924 , 1.49871044, -1.66105507],
[ 3.72434103, -4.40455426, -4.07463453, -6.6651427 ,
-4.55841724, -4.24384257, -5.79315 ],
[ 3.96528762, -4.04193015, -3.4454651 , -4.90839776,
-2.86694395, -3.47427865, -4.76472923],
[ -4.44684374, 1.97717458, -3.88547972, -4.25688855,
-3.47879733, -5.09323137, -3.54386624],
[ -3.05876828, -2.81728476, -2.47746128, 2.26062529,
-2.44905916, -5.56513287, -3.6540317 ],
[ 2.95800659, -4.50801752, -3.72621062, -6.59706175,
-3.73937706, -3.62076594, -5.48880365],
[ 2.89174473, -4.55264417, -3.40009325, -6.62684971,
-3.42624772, -3.48123196, -5.29908389],
[ -3.9949799 , 2.2684023 , -2.8307278 , -4.67483448,
-4.1462329 , -4.03280936, -3.84270736],
[ -3.24999877, -3.0461478 , -2.3959448 , 1.70226423,
-2.7628028 , -6.70606849, -2.9730526 ],
[ -2.82712448, -3.63482648, -4.87790414, -9.24491143,
-3.68286525, 1.46914645, -2.23155728],
[ -2.35064701, -3.28014798, -5.13980736, -8.74684673,
-3.40811091, 1.60816129, -2.33385002],
[ -3.45447929, 1.2366886 , -2.10445267, -4.41283825,
-3.52950158, -4.7813088 , -2.77364633],
[ -3.95266844, -2.81885673, -4.08953778, -9.04509475,
-2.83183604, 0.35777481, -0.98007597],
[ -3.80374941, 2.49726534, -2.91224429, -4.11647342,
-3.83248926, -2.89187374, -4.52368647],
[ 3.46684868, -4.67804395, -3.66700067, -7.25329172,
-4.55903155, -5.24524421, -4.92245113],
[ 3.46684868, -4.67804395, -3.66700067, -7.25329172,
-4.55903155, -5.24524421, -4.92245113],
[ -4.14209839, -4.37640518, -4.42989776, -6.74938674,
-1.82878718, -1.40635737, 1.17978941],
[ 3.46684868, -4.67804395, -3.66700067, -7.25329172,
-4.55903155, -5.24524421, -4.92245113],
[ 3.01498485, -4.96927167, -4.72175259, -6.83534578,
-3.89159598, -6.30566623, -4.62361001],
[ 2.70051424, -4.78150721, -3.31857676, -7.18521077,
-3.73999136, -4.62216759, -4.61810478],
[ 3.46684868, -4.67804395, -3.66700067, -7.25329172,
-4.55903155, -5.24524421, -4.92245113],
[ -2.35064701, -3.28014798, -5.13980736, -8.74684673,
-3.40811091, 1.60816129, -2.33385002],
[ -3.18059844, -3.92199638, -2.78245744, -5.34573625,
-1.82492664, -5.38295755, -3.30216158],
[ -3.6207592 , -5.19854631, -5.51459963, -8.92347099,
-2.72028438, -1.35897405, 0.83660675],
[ 2.70051424, -4.78150721, -3.31857676, -7.18521077,
-3.73999136, -4.62216759, -4.61810478],
[ 3.65807917, -4.44918091, -3.74851715, -6.69493065,
-4.24528791, -4.10430859, -5.60343024],
[ -2.49691436, 1.5690149 , -2.53439306, -3.92255813,
-4.03479813, -4.2634498 , -3.75897179],
[ -3.73748756, 2.54189199, -3.23836166, -4.08668546,
-4.14561859, -3.03140771, -4.71340623],
[ -3.14000868, 1.04892414, -3.5076285 , -4.06297326,
-3.6811062 , -6.46480744, -2.77915156],
[ -3.80374941, 2.49726534, -2.91224429, -4.11647342,
-3.83248926, -2.89187374, -4.52368647],
[ -2.48366432, -2.94268454, -2.7443687 , 1.63418328,
-3.58184299, -7.32914512, -3.27739895],
[ -3.24999877, -3.0461478 , -2.3959448 , 1.70226423,
-2.7628028 , -6.70606849, -2.9730526 ],
[ -2.78148342, -2.17886501, 0.33287099, -2.07952824,
-2.30907318, -5.6629363 , -3.23131758],
[ 0.56609232, -3.49861156, -5.32925937, -6.86806134,
-5.05117062, -5.76682484, -3.37046705],
[ 3.46684868, -4.67804395, -3.66700067, -7.25329172,
-4.55903155, -5.24524421, -4.92245113],
[ 3.72434103, -4.40455426, -4.07463453, -6.6651427 ,
-4.55841724, -4.24384257, -5.79315 ],
[ 1.81286031, -3.16866177, -3.35460366, -1.1429981 ,
-3.6583356 , -7.78301728, -4.41366931],
[ 3.46684868, -4.67804395, -3.66700067, -7.25329172,
-4.55903155, -5.24524421, -4.92245113],
[ 3.53311054, -4.6334173 , -3.99311804, -7.22350376,
-4.87216088, -5.38477819, -5.11217089],
[ 3.46684868, -4.67804395, -3.66700067, -7.25329172,
-4.55903155, -5.24524421, -4.92245113],
[ 3.72434103, -4.40455426, -4.07463453, -6.6651427 ,
-4.55841724, -4.24384257, -5.79315 ],
[ -2.68814485, 1.34015186, -2.45287658, -4.48091919,
-4.34854177, -5.40438542, -3.07799269],
[ -2.21703526, -4.46969216, -2.69377491, -11.51589807,
-3.09427735, -0.85035864, -0.49384931],
[ -3.05876828, -2.81728476, -2.47746128, 2.26062529,
-2.44905916, -5.56513287, -3.6540317 ],
[ 3.28586444, -4.3771697 , -4.75658265, -1.72258155,
-3.24246717, -6.37307655, -4.28659956],
[ 2.978656 , -4.78442046, -5.0596347 , -3.50911444,
-4.62081112, -7.00310648, -5.12530057],
[ -1.46633366, -2.51726558, -0.34924493, -0.46423047,
-1.46195931, -6.50869226, -2.17665909],
[ -3.94985195, -1.99889712, -1.63304329, -0.95922949,
-1.57304114, -3.41721807, 1.58831084],
[ -4.44684374, 1.97717458, -3.88547972, -4.25688855,
-3.47879733, -5.09323137, -3.54386624],
[ -4.44684374, 1.97717458, -3.88547972, -4.25688855,
-3.47879733, -5.09323137, -3.54386624],
[ -2.2387441 , -1.77955987, -0.25514961, -1.55167558,
-2.34744817, -5.66345543, -3.52333008],
[ -2.48595158, -0.8448942 , -1.23594526, -1.90672754,
-1.68399003, -1.26116883, -0.47548511],
[ -3.05876828, -2.81728476, -2.47746128, 2.26062529,
-2.44905916, -5.56513287, -3.6540317 ],
[ -3.80374941, 2.49726534, -2.91224429, -4.11647342,
-3.83248926, -2.89187374, -4.52368647],
[ 3.13673998, -3.62703977, -2.66381529, -4.5208464 ,
-3.35379071, -4.15169191, -5.26024758],
[ -4.01960077, -3.91360298, -4.06175878, -5.69638509,
-1.79255867, -1.74158734, 1.19920757],
[ -3.02640364, -3.34198969, -2.15634811, 1.10633062,
-3.54346799, -7.32862598, -2.98538645],
[ -3.4892788 , 2.30950088, -4.31542012, -3.76660843,
-3.98409388, -4.57537238, -4.5291917 ],
[ -3.22093734, -3.6217074 , -3.44477914, -8.22473745,
-1.90136108, 0.750211 , -0.59199405],
[ -2.92715476, -4.21148699, -3.29719984, -5.1068456 ,
-0.20529605, -2.94153205, -3.18327598],
[ -2.17498187, -1.64034809, -2.38063351, -5.72453163,
-3.69643706, -3.09595837, -3.36933105],
[ -2.72873461, -3.63076866, -1.72770553, -5.76368219,
-2.49236221, -4.32253554, -3.6010027 ],
[ -2.48366432, -2.94268454, -2.7443687 , 1.63418328,
-3.58184299, -7.32914512, -3.27739895],
[ 2.59623937, -2.59532607, -3.39009042, -4.78284264,
-3.97052203, -3.40319247, -6.32930861],
[ 2.89174473, -4.55264417, -3.40009325, -6.62684971,
-3.42624772, -3.48123196, -5.29908389],
[ -3.22864546, 2.37186556, -3.17915171, -4.74291543,
-4.96527309, -4.65588599, -4.14705372],
[ 3.90307443, -3.52357651, -3.0122392 , -4.58892735,
-4.17283089, -4.77476853, -5.56459393],
[ -2.89338633, -3.67945313, -4.55178676, -9.27469939,
-3.36973592, 1.60868043, -2.04183753],
[ 3.46684868, -4.67804395, -3.66700067, -7.25329172,
-4.55903155, -5.24524421, -4.92245113],
[ -2.48595158, -0.8448942 , -1.23594526, -1.90672754,
-1.68399003, -1.26116883, -0.47548511],
[ -3.80374941, 2.49726534, -2.91224429, -4.11647342,
-3.83248926, -2.89187374, -4.52368647]])
In [8]:
#listing parameters for Logistic Regression
m.get_params()
Out[8]:
{'C': 1.0,
'class_weight': None,
'dual': False,
'fit_intercept': True,
'intercept_scaling': 1,
'max_iter': 100,
'multi_class': 'ovr',
'n_jobs': 1,
'penalty': 'l2',
'random_state': None,
'solver': 'liblinear',
'tol': 0.0001,
'verbose': 0,
'warm_start': False}
In [10]:
#Fit the data and transform the result
m.fit_transform(zoo_data,zoo_target)
Out[10]:
array([[1, 0, 1, 0, 0, 1, 1, 0, 0],
[1, 0, 1, 0, 0, 1, 1, 0, 1],
[0, 0, 0, 0, 1, 1, 1, 1, 1],
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[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 1, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 1, 0, 1],
[0, 0, 0, 0, 0, 1, 1, 0, 1],
[0, 0, 0, 0, 1, 1, 1, 1, 1],
[1, 0, 1, 1, 0, 1, 1, 0, 1],
[1, 0, 1, 0, 0, 1, 1, 0, 1],
[0, 1, 0, 1, 0, 0, 1, 0, 1],
[1, 0, 1, 0, 0, 1, 1, 0, 1],
[1, 0, 0, 1, 0, 0, 0, 0, 0],
[1, 0, 1, 0, 0, 1, 1, 0, 1],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 1, 0, 0, 1, 0, 1]], dtype=int64)
In [11]:
#predict - in the output below, 0-Setosa, 1-Versicolour, 2-Virginica
m.predict(zoo_data)
Out[11]:
array([1, 1, 4, 1, 1, 1, 1, 4, 4, 1, 1, 2, 4, 7, 7, 7, 2, 1, 4, 1, 2, 2, 1,
2, 6, 5, 5, 1, 1, 1, 6, 1, 1, 2, 4, 1, 1, 2, 4, 6, 6, 2, 6, 2, 1, 1,
7, 1, 1, 1, 1, 6, 5, 7, 1, 1, 2, 2, 2, 2, 4, 4, 3, 1, 1, 1, 1, 1, 1,
1, 1, 2, 7, 4, 1, 1, 3, 7, 2, 2, 3, 7, 4, 2, 1, 7, 4, 2, 6, 5, 2, 3,
4, 1, 1, 2, 1, 6, 1, 7, 2], dtype=int64)
In [12]:
#predict the probability estimates
m.predict_proba(zoo_data)
Out[12]:
array([[ 9.11380573e-01, 5.16524341e-03, 1.52901876e-02,
4.82195693e-04, 3.49110095e-02, 1.78133052e-02,
1.49574857e-02],
[ 9.33154235e-01, 1.10587776e-02, 2.20261199e-02,
1.18276945e-03, 1.35245688e-02, 1.55389596e-02,
3.51456959e-03],
[ 3.32898238e-02, 4.04755445e-02, 7.44533747e-02,
7.54349151e-01, 5.29467252e-02, 1.08980713e-03,
4.33955740e-02],
[ 9.11380573e-01, 5.16524341e-03, 1.52901876e-02,
4.82195693e-04, 3.49110095e-02, 1.78133052e-02,
1.49574857e-02],
[ 9.43865825e-01, 8.96585795e-03, 2.42517634e-02,
6.88474271e-04, 1.00872544e-02, 5.10499300e-03,
7.03583210e-03],
[ 9.33154235e-01, 1.10587776e-02, 2.20261199e-02,
1.18276945e-03, 1.35245688e-02, 1.55389596e-02,
3.51456959e-03],
[ 9.44278251e-01, 1.16763057e-02, 1.61637854e-02,
1.23102470e-03, 1.00284095e-02, 1.36832231e-02,
2.93900076e-03],
[ 4.13382177e-02, 5.09049016e-02, 4.94435289e-02,
7.85888574e-01, 5.14088316e-02, 2.87268225e-03,
1.81432634e-02],
[ 3.32898238e-02, 4.04755445e-02, 7.44533747e-02,
7.54349151e-01, 5.29467252e-02, 1.08980713e-03,
4.33955740e-02],
[ 8.25101638e-01, 5.64196191e-03, 1.33059588e-02,
8.56947379e-04, 6.97949038e-02, 7.74128918e-02,
7.88569856e-03],
[ 9.43865825e-01, 8.96585795e-03, 2.42517634e-02,
6.88474271e-04, 1.00872544e-02, 5.10499300e-03,
7.03583210e-03],
[ 2.16359594e-02, 8.62302669e-01, 3.51118650e-02,
1.53641706e-02, 1.44985815e-02, 4.28134116e-02,
8.27334293e-03],
[ 3.32898238e-02, 4.04755445e-02, 7.44533747e-02,
7.54349151e-01, 5.29467252e-02, 1.08980713e-03,
4.33955740e-02],
[ 2.89531236e-02, 1.24473794e-01, 1.38960335e-01,
1.75263717e-01, 5.43442914e-02, 5.05979271e-02,
4.27406812e-01],
[ 1.78462639e-02, 2.75765655e-02, 2.17757634e-02,
8.55086249e-03, 1.32075664e-01, 9.98932757e-02,
6.92281605e-01],
[ 1.37068680e-02, 1.08793085e-02, 1.03193103e-02,
1.02552258e-03, 1.21271105e-01, 1.72472806e-01,
6.70325080e-01],
[ 1.73264680e-02, 8.68692473e-01, 5.33797337e-02,
8.85814431e-03, 1.49322409e-02, 1.66944619e-02,
2.01164779e-02],
[ 9.33154235e-01, 1.10587776e-02, 2.20261199e-02,
1.18276945e-03, 1.35245688e-02, 1.55389596e-02,
3.51456959e-03],
[ 7.07614263e-02, 4.60188477e-02, 5.55032245e-02,
7.68835519e-01, 2.48741568e-02, 6.02489909e-04,
3.34043355e-02],
[ 7.08689386e-01, 3.32721124e-02, 2.78170694e-02,
1.99300489e-01, 2.07137211e-02, 3.43402097e-04,
9.86381987e-03],
[ 2.16359594e-02, 8.62302669e-01, 3.51118650e-02,
1.53641706e-02, 1.44985815e-02, 4.28134116e-02,
8.27334293e-03],
[ 1.35617411e-02, 8.73464910e-01, 1.80149359e-02,
2.34287705e-02, 3.92735674e-02, 1.82766913e-02,
1.39793839e-02],
[ 9.33154235e-01, 1.10587776e-02, 2.20261199e-02,
1.18276945e-03, 1.35245688e-02, 1.55389596e-02,
3.51456959e-03],
[ 4.25749110e-02, 8.66039007e-01, 3.43709210e-02,
1.39552493e-02, 8.79772471e-03, 2.68766685e-02,
7.38551807e-03],
[ 3.04410117e-02, 2.06512616e-02, 2.45246139e-02,
2.12431489e-04, 1.03058703e-01, 5.38650152e-01,
2.82461827e-01],
[ 7.54454323e-02, 2.07594260e-02, 6.87204085e-02,
6.14972986e-03, 6.64544811e-01, 2.95439930e-02,
1.34836199e-01],
[ 4.17764962e-02, 1.30828660e-02, 1.12327415e-01,
3.39986753e-03, 6.36988580e-01, 2.76646376e-02,
1.64760138e-01],
[ 8.51078612e-01, 6.35047712e-02, 2.98196981e-02,
7.59302225e-03, 1.69319057e-02, 2.94440441e-02,
1.62794644e-03],
[ 9.33154235e-01, 1.10587776e-02, 2.20261199e-02,
1.18276945e-03, 1.35245688e-02, 1.55389596e-02,
3.51456959e-03],
[ 9.11660313e-01, 1.34080794e-02, 2.26871104e-02,
4.03583229e-03, 2.74612931e-02, 7.95025903e-03,
1.27971125e-02],
[ 1.95960882e-02, 6.01847255e-02, 1.31100577e-02,
1.77783667e-04, 6.43367454e-02, 7.04933433e-01,
1.37661166e-01],
[ 9.44278251e-01, 1.16763057e-02, 1.61637854e-02,
1.23102470e-03, 1.00284095e-02, 1.36832231e-02,
2.93900076e-03],
[ 8.69099639e-01, 1.52854528e-02, 2.73683082e-02,
6.49146264e-03, 4.76548694e-02, 2.66143435e-02,
7.48592447e-03],
[ 1.17185185e-02, 8.88900339e-01, 2.03656950e-02,
1.41357358e-02, 3.02799512e-02, 6.17377657e-03,
2.84259841e-02],
[ 3.75922824e-02, 4.72810285e-02, 6.49336012e-02,
7.59185094e-01, 6.66555597e-02, 3.19788382e-03,
2.11545506e-02],
[ 9.14237251e-01, 1.04827584e-02, 2.26169648e-02,
1.31033678e-03, 2.23280001e-02, 2.50665205e-02,
3.95816869e-03],
[ 8.95676742e-01, 9.85960650e-03, 3.05283534e-02,
1.25032237e-03, 2.97650649e-02, 2.82201714e-02,
4.69973892e-03],
[ 1.73264680e-02, 8.68692473e-01, 5.33797337e-02,
8.85814431e-03, 1.49322409e-02, 1.66944619e-02,
2.01164779e-02],
[ 3.32898238e-02, 4.04755445e-02, 7.44533747e-02,
7.54349151e-01, 5.29467252e-02, 1.08980713e-03,
4.33955740e-02],
[ 5.45848803e-02, 2.51160288e-02, 7.38086476e-03,
9.43608549e-05, 2.39669089e-02, 7.94144836e-01,
9.47121200e-02],
[ 8.03595084e-02, 3.34854949e-02, 5.37922054e-03,
1.46781071e-04, 2.95922973e-02, 7.69436264e-01,
8.16004336e-02],
[ 2.99811385e-02, 7.58432262e-01, 1.06343563e-01,
1.17197598e-02, 2.78759103e-02, 8.13766708e-03,
5.75096995e-02],
[ 1.86781241e-02, 5.58251574e-02, 1.63282496e-02,
1.16931156e-04, 5.51453134e-02, 5.83396625e-01,
2.70509599e-01],
[ 1.98584380e-02, 8.41615536e-01, 4.69577645e-02,
1.46110322e-02, 1.93077582e-02, 4.78733405e-02,
9.77613046e-03],
[ 9.43865825e-01, 8.96585795e-03, 2.42517634e-02,
6.88474271e-04, 1.00872544e-02, 5.10499300e-03,
7.03583210e-03],
[ 9.43865825e-01, 8.96585795e-03, 2.42517634e-02,
6.88474271e-04, 1.00872544e-02, 5.10499300e-03,
7.03583210e-03],
[ 1.37068680e-02, 1.08793085e-02, 1.03193103e-02,
1.02552258e-03, 1.21271105e-01, 1.72472806e-01,
6.70325080e-01],
[ 9.43865825e-01, 8.96585795e-03, 2.42517634e-02,
6.88474271e-04, 1.00872544e-02, 5.10499300e-03,
7.03583210e-03],
[ 9.51732661e-01, 6.88930399e-03, 8.80705515e-03,
1.07223538e-03, 1.99726280e-02, 1.81970685e-03,
9.70640994e-03],
[ 9.15290446e-01, 8.12054292e-03, 3.41277735e-02,
7.39548387e-04, 2.26641573e-02, 9.50959790e-03,
9.54793371e-03],
[ 9.43865825e-01, 8.96585795e-03, 2.42517634e-02,
6.88474271e-04, 1.00872544e-02, 5.10499300e-03,
7.03583210e-03],
[ 8.03595084e-02, 3.34854949e-02, 5.37922054e-03,
1.46781071e-04, 2.95922973e-02, 7.69436264e-01,
8.16004336e-02],
[ 1.32452207e-01, 6.44529982e-02, 1.93453353e-01,
1.57532595e-02, 4.60878609e-01, 1.51803133e-02,
1.17829260e-01],
[ 2.60739794e-02, 5.49617208e-03, 4.01279692e-03,
1.33254207e-04, 6.18087492e-02, 2.04479119e-01,
6.97995929e-01],
[ 9.15290446e-01, 8.12054292e-03, 3.41277735e-02,
7.39548387e-04, 2.26641573e-02, 9.50959790e-03,
9.54793371e-03],
[ 9.33154235e-01, 1.10587776e-02, 2.20261199e-02,
1.18276945e-03, 1.35245688e-02, 1.55389596e-02,
3.51456959e-03],
[ 7.24078155e-02, 7.87749004e-01, 6.99400099e-02,
1.84709179e-02, 1.65439420e-02, 1.32093827e-02,
2.16789280e-02],
[ 2.16359594e-02, 8.62302669e-01, 3.51118650e-02,
1.53641706e-02, 1.44985815e-02, 4.28134116e-02,
8.27334293e-03],
[ 4.54574839e-02, 8.11448229e-01, 3.18807359e-02,
1.85252230e-02, 2.69280622e-02, 1.70368670e-03,
6.40565794e-02],
[ 1.98584380e-02, 8.41615536e-01, 4.69577645e-02,
1.46110322e-02, 1.93077582e-02, 4.78733405e-02,
9.77613046e-03],
[ 7.07614263e-02, 4.60188477e-02, 5.55032245e-02,
7.68835519e-01, 2.48741568e-02, 6.02489909e-04,
3.34043355e-02],
[ 3.32898238e-02, 4.04755445e-02, 7.44533747e-02,
7.54349151e-01, 5.29467252e-02, 1.08980713e-03,
4.33955740e-02],
[ 5.91975071e-02, 1.03171197e-01, 5.91089737e-01,
1.12749078e-01, 9.17136454e-02, 3.51157219e-03,
3.85672636e-02],
[ 8.91130212e-01, 4.10061774e-02, 6.73979908e-03,
1.45211939e-03, 8.88685646e-03, 4.35870852e-03,
4.64261268e-02],
[ 9.43865825e-01, 8.96585795e-03, 2.42517634e-02,
6.88474271e-04, 1.00872544e-02, 5.10499300e-03,
7.03583210e-03],
[ 9.44278251e-01, 1.16763057e-02, 1.61637854e-02,
1.23102470e-03, 1.00284095e-02, 1.36832231e-02,
2.93900076e-03],
[ 7.08689386e-01, 3.32721124e-02, 2.78170694e-02,
1.99300489e-01, 2.07137211e-02, 3.43402097e-04,
9.86381987e-03],
[ 9.43865825e-01, 8.96585795e-03, 2.42517634e-02,
6.88474271e-04, 1.00872544e-02, 5.10499300e-03,
7.03583210e-03],
[ 9.54219365e-01, 9.45550457e-03, 1.77839565e-02,
7.15664467e-04, 7.46257387e-03, 4.48319218e-03,
5.87974315e-03],
[ 9.43865825e-01, 8.96585795e-03, 2.42517634e-02,
6.88474271e-04, 1.00872544e-02, 5.10499300e-03,
7.03583210e-03],
[ 9.44278251e-01, 1.16763057e-02, 1.61637854e-02,
1.23102470e-03, 1.00284095e-02, 1.36832231e-02,
2.93900076e-03],
[ 6.31788306e-02, 7.86320491e-01, 7.86091828e-02,
1.11087140e-02, 1.26609673e-02, 4.44169586e-03,
4.36801178e-02],
[ 1.09805402e-01, 1.26551477e-02, 7.08050537e-02,
1.11449808e-05, 4.84510170e-02, 3.34630077e-01,
4.23642157e-01],
[ 3.75922824e-02, 4.72810285e-02, 6.49336012e-02,
7.59185094e-01, 6.66555597e-02, 3.19788382e-03,
2.11545506e-02],
[ 8.10528728e-01, 1.04307688e-02, 7.16545421e-03,
1.27421395e-01, 3.16146799e-02, 1.43279963e-03,
1.14061745e-02],
[ 9.40485486e-01, 8.19284736e-03, 6.23415888e-03,
2.87146460e-02, 9.63496236e-03, 8.97619569e-04,
5.84028024e-03],
[ 1.38558004e-01, 5.51693047e-02, 3.05614168e-01,
2.85231184e-01, 1.39051134e-01, 1.09974807e-03,
7.52764559e-02],
[ 1.17164303e-02, 7.39923653e-02, 1.01336785e-01,
1.71794345e-01, 1.06526845e-01, 1.96961562e-02,
5.14937073e-01],
[ 1.17185185e-02, 8.88900339e-01, 2.03656950e-02,
1.41357358e-02, 3.02799512e-02, 6.17377657e-03,
2.84259841e-02],
[ 1.17185185e-02, 8.88900339e-01, 2.03656950e-02,
1.41357358e-02, 3.02799512e-02, 6.17377657e-03,
2.84259841e-02],
[ 9.91540612e-02, 1.48597560e-01, 4.49378954e-01,
1.79979926e-01, 8.98320800e-02, 3.56008447e-03,
2.94973336e-02],
[ 5.14898924e-02, 2.01342738e-01, 1.50848797e-01,
8.66656774e-02, 1.04902739e-01, 1.47920961e-01,
2.56829194e-01],
[ 3.75922824e-02, 4.72810285e-02, 6.49336012e-02,
7.59185094e-01, 6.66555597e-02, 3.19788382e-03,
2.11545506e-02],
[ 1.98584380e-02, 8.41615536e-01, 4.69577645e-02,
1.46110322e-02, 1.93077582e-02, 4.78733405e-02,
9.77613046e-03],
[ 8.59824344e-01, 2.32417164e-02, 5.84434310e-02,
9.65589299e-03, 3.02982658e-02, 1.39005546e-02,
4.63579499e-03],
[ 1.57846286e-02, 1.75151018e-02, 1.51440420e-02,
2.99427032e-03, 1.27720323e-01, 1.33403275e-01,
6.87438359e-01],
[ 4.56791114e-02, 3.37388617e-02, 1.02465200e-01,
7.42213879e-01, 2.77552423e-02, 6.47985652e-04,
4.74997195e-02],
[ 2.92037567e-02, 8.96913150e-01, 1.30000070e-02,
2.22906459e-02, 1.80132993e-02, 1.00545006e-02,
1.05246401e-02],
[ 3.04410117e-02, 2.06512616e-02, 2.45246139e-02,
2.12431489e-04, 1.03058703e-01, 5.38650152e-01,
2.82461827e-01],
[ 7.86905683e-02, 2.26156064e-02, 5.52199261e-02,
9.31811369e-03, 6.94914220e-01, 7.76236240e-02,
6.16179417e-02],
[ 2.25156284e-01, 3.58453866e-01, 1.86846797e-01,
7.18210575e-03, 5.34334949e-02, 9.55057935e-02,
7.34216593e-02],
[ 1.71618803e-01, 7.22656582e-02, 4.22422815e-01,
8.76224163e-03, 2.13884294e-01, 3.66551540e-02,
7.43910343e-02],
[ 7.07614263e-02, 4.60188477e-02, 5.55032245e-02,
7.68835519e-01, 2.48741568e-02, 6.02489909e-04,
3.34043355e-02],
[ 8.51078612e-01, 6.35047712e-02, 2.98196981e-02,
7.59302225e-03, 1.69319057e-02, 2.94440441e-02,
1.62794644e-03],
[ 8.95676742e-01, 9.85960650e-03, 3.05283534e-02,
1.25032237e-03, 2.97650649e-02, 2.82201714e-02,
4.69973892e-03],
[ 3.68752847e-02, 8.85211968e-01, 3.86715389e-02,
8.35986953e-03, 6.70470018e-03, 9.11286482e-03,
1.50637735e-02],
[ 8.96679071e-01, 2.62071738e-02, 4.28809390e-02,
9.20398994e-03, 1.38814708e-02, 7.65610773e-03,
3.49124755e-03],
[ 4.90943677e-02, 2.30268914e-02, 9.76456076e-03,
8.77069871e-05, 3.11085659e-02, 7.79452378e-01,
1.07465529e-01],
[ 9.43865825e-01, 8.96585795e-03, 2.42517634e-02,
6.88474271e-04, 1.00872544e-02, 5.10499300e-03,
7.03583210e-03],
[ 5.14898924e-02, 2.01342738e-01, 1.50848797e-01,
8.66656774e-02, 1.04902739e-01, 1.47920961e-01,
2.56829194e-01],
[ 1.98584380e-02, 8.41615536e-01, 4.69577645e-02,
1.46110322e-02, 1.93077582e-02, 4.78733405e-02,
9.77613046e-03]])
In [13]:
#predict the log of probability estimates
m.predict_log_proba(zoo_data)
Out[13]:
array([[ -0.09279472, -5.26580305, -4.18054399, -7.63716052,
-3.35495304, -4.02780962, -4.20254339],
[ -0.06918478, -4.50453081, -3.81552626, -6.7398966 ,
-4.30324733, -4.16440489, -5.65083821],
[ -3.40250352, -3.20705733, -2.59758219, -0.28189995,
-2.93846906, -6.82175454, -3.13739782],
[ -0.09279472, -5.26580305, -4.18054399, -7.63716052,
-3.35495304, -4.02780962, -4.20254339],
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In [15]:
#returns the mean accuracy on the given test data and labels
m.score(zoo_data,zoo_target)
Out[15]:
0.99009900990099009
In [16]:
#convert coefficient matrix to sparse format
m.sparsify()
Out[16]:
LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,
penalty='l2', random_state=None, solver='liblinear', tol=0.0001,
verbose=0, warm_start=False)
Content source: harishkrao/Machine-Learning
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