8824961
1
Jan van Rijn
14
Supervised Classification
7707
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
6800011
axis
0
7660
categorical_features
[]
7660
copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"mean"
7660
strategy_nominal
"most_frequent"
7660
verbose
0
7660
categorical_features
[]
7661
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7661
handle_unknown
"ignore"
7661
n_values
"auto"
7661
sparse
true
7661
threshold
0.0
7662
copy
true
7663
with_mean
false
7663
with_std
true
7663
C
9.35592464834627
7708
cache_size
200
7708
class_weight
null
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coef0
0.35177814477914837
7708
decision_function_shape
null
7708
degree
2
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gamma
0.0006708129883017428
7708
kernel
"poly"
7708
max_iter
-1
7708
probability
true
7708
random_state
39827
7708
shrinking
false
7708
tol
0.0003627650669054487
7708
verbose
false
7708
openml-pimp
openml-python
Sklearn_0.18.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18565754
description
https://api.openml.org/data/download/18565754/description.xml
-1
18565755
predictions
https://api.openml.org/data/download/18565755/predictions.arff
area_under_roc_curve
0.9790708333333332 [0.999989,0.967736,0.995333,0.993031,0.971503,0.996033,0.944086,0.991647,0.991419,0.939931]
average_cost
0
f_measure
0.8219061467839578 [0.994975,0.756098,0.955,0.883721,0.80916,0.918519,0.509284,0.890476,0.975,0.526829]
kappa
0.8033333333333332
kb_relative_information_score
1633.941176136221
mean_absolute_error
0.052865919284135046
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8220343606472604 [1,0.738095,0.955,0.914439,0.823834,0.907317,0.542373,0.85,0.975,0.514286]
predictive_accuracy
0.823
prior_entropy
3.321928094887362
recall
0.823 [0.99,0.775,0.955,0.855,0.795,0.93,0.48,0.935,0.975,0.54]
relative_absolute_error
0.293699551578519
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.152965245573734
root_relative_squared_error
0.5098841519124389
total_cost
0
area_under_roc_curve
0.9804722222222222 [0.999722,0.973611,0.999444,0.996667,0.980556,1,0.918056,0.991944,0.999444,0.945278]
area_under_roc_curve
0.9823611111111111 [1,0.974167,0.996944,0.996111,0.955278,0.995278,0.963056,0.990556,0.9975,0.954722]
area_under_roc_curve
0.9763888888888889 [1,0.966389,1,0.980833,0.975833,0.996667,0.904722,0.988889,1,0.950556]
area_under_roc_curve
0.9861666666666667 [1,0.981111,0.998611,0.999167,0.993056,0.996667,0.961667,0.993333,0.986389,0.951667]
area_under_roc_curve
0.9780555555555556 [1,0.966111,0.996667,0.978889,0.973056,0.994167,0.955833,0.994722,1,0.921111]
area_under_roc_curve
0.9802222222222221 [1,0.948611,0.998333,0.994722,0.973333,0.996944,0.955556,0.994167,1,0.940556]
area_under_roc_curve
0.9812777777777778 [1,0.980833,0.988611,0.996389,0.971389,0.989722,0.962222,0.992778,1,0.930833]
area_under_roc_curve
0.9828611111111111 [1,0.952778,0.995,0.998056,0.963333,0.998056,0.9575,0.993333,0.999167,0.971389]
area_under_roc_curve
0.9816388888888891 [1,0.9725,1,0.998333,0.988333,0.991389,0.948611,0.997222,1,0.92]
area_under_roc_curve
0.9677777777777778 [1,0.969167,0.983889,0.996667,0.944167,0.999167,0.931389,0.987778,0.941667,0.923889]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.7993749492676688 [0.974359,0.693878,0.95,0.864865,0.871795,1,0.333333,0.842105,0.97561,0.487805]
f_measure
0.8280833067621173 [1,0.8,0.95,0.894737,0.736842,0.857143,0.588235,0.837209,0.95,0.666667]
f_measure
0.8436502159014623 [1,0.744186,1,0.842105,0.837209,0.878049,0.631579,0.871795,1,0.631579]
f_measure
0.8504595168491934 [0.974359,0.769231,0.974359,0.926829,0.837209,0.9,0.666667,0.871795,0.95,0.634146]
f_measure
0.7967766942413926 [1,0.702703,0.974359,0.85,0.731707,0.878049,0.512821,0.844444,1,0.473684]
f_measure
0.8338263417531709 [1,0.8,0.952381,0.864865,0.820513,0.95,0.536585,0.952381,1,0.461538]
f_measure
0.77938527090505 [1,0.75,0.918919,0.878049,0.756757,0.883721,0.421053,0.869565,1,0.315789]
f_measure
0.8590985989560488 [1,0.780488,0.97561,0.9,0.833333,0.923077,0.666667,0.930233,0.95,0.631579]
f_measure
0.8280704378509669 [1,0.789474,0.97561,0.95,0.769231,0.95,0.322581,0.952381,1,0.571429]
f_measure
0.7932850364053158 [1,0.744186,0.878049,0.857143,0.894737,0.974359,0.358974,0.930233,0.923077,0.372093]
kappa
0.7777777777777778
kappa
0.8111111111111111
kappa
0.8277777777777777
kappa
0.8333333333333333
kappa
0.7777777777777778
kappa
0.8166666666666667
kappa
0.7611111111111112
kappa
0.8444444444444444
kappa
0.8166666666666667
kappa
0.7666666666666667
kb_relative_information_score
162.56597629330338
kb_relative_information_score
163.0246320311365
kb_relative_information_score
161.28824996359398
kb_relative_information_score
165.67915217797915
kb_relative_information_score
161.03744751657766
kb_relative_information_score
166.04633938964358
kb_relative_information_score
162.2603525484811
kb_relative_information_score
165.64767376209718
kb_relative_information_score
166.7848202753994
kb_relative_information_score
159.60653217800964
mean_absolute_error
0.052950343506924555
mean_absolute_error
0.0538119773107369
mean_absolute_error
0.054343017094691186
mean_absolute_error
0.05039754037675994
mean_absolute_error
0.05492778135785596
mean_absolute_error
0.04974317210792892
mean_absolute_error
0.05344653511561298
mean_absolute_error
0.05211330338300442
mean_absolute_error
0.050021839331771026
mean_absolute_error
0.05690368325606555
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.8064580526705539 [1,0.586207,0.95,0.941176,0.894737,1,0.375,0.888889,0.952381,0.47619]
precision
0.8337298450341929 [1,0.8,0.95,0.944444,0.777778,0.818182,0.714286,0.782609,0.95,0.6]
precision
0.845236279103556 [1,0.695652,1,0.888889,0.782609,0.857143,0.666667,0.894737,1,0.666667]
precision
0.8524839272093278 [1,0.789474,1,0.904762,0.782609,0.9,0.684211,0.894737,0.95,0.619048]
precision
0.7972450243255197 [1,0.764706,1,0.85,0.714286,0.857143,0.526316,0.76,1,0.5]
precision
0.8348957286263788 [1,0.8,0.909091,0.941176,0.842105,0.95,0.52381,0.909091,1,0.473684]
precision
0.7803767772437848 [1,0.75,1,0.857143,0.823529,0.826087,0.444444,0.769231,1,0.333333]
precision
0.8621749655759955 [1,0.761905,0.952381,0.9,0.9375,0.947368,0.636364,0.869565,0.95,0.666667]
precision
0.8321582954250831 [1,0.833333,0.952381,0.95,0.789474,0.95,0.454545,0.909091,1,0.482759]
precision
0.8030420253532381 [1,0.695652,0.857143,1,0.944444,1,0.368421,0.869565,0.947368,0.347826]
predictive_accuracy
0.8
predictive_accuracy
0.83
predictive_accuracy
0.845
predictive_accuracy
0.85
predictive_accuracy
0.8
predictive_accuracy
0.835
predictive_accuracy
0.785
predictive_accuracy
0.86
predictive_accuracy
0.835
predictive_accuracy
0.79
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.8 [0.95,0.85,0.95,0.8,0.85,1,0.3,0.8,1,0.5]
recall
0.83 [1,0.8,0.95,0.85,0.7,0.9,0.5,0.9,0.95,0.75]
recall
0.845 [1,0.8,1,0.8,0.9,0.9,0.6,0.85,1,0.6]
recall
0.85 [0.95,0.75,0.95,0.95,0.9,0.9,0.65,0.85,0.95,0.65]
recall
0.8 [1,0.65,0.95,0.85,0.75,0.9,0.5,0.95,1,0.45]
recall
0.835 [1,0.8,1,0.8,0.8,0.95,0.55,1,1,0.45]
recall
0.785 [1,0.75,0.85,0.9,0.7,0.95,0.4,1,1,0.3]
recall
0.86 [1,0.8,1,0.9,0.75,0.9,0.7,1,0.95,0.6]
recall
0.835 [1,0.75,1,0.95,0.75,0.95,0.25,1,1,0.7]
recall
0.79 [1,0.8,0.9,0.75,0.85,0.95,0.35,1,0.9,0.4]
relative_absolute_error
0.2941685750384701
relative_absolute_error
0.2989554295040942
relative_absolute_error
0.3019056505260625
relative_absolute_error
0.27998633542644447
relative_absolute_error
0.3051543408769779
relative_absolute_error
0.276350956155161
relative_absolute_error
0.2969251950867391
relative_absolute_error
0.2895183521278027
relative_absolute_error
0.27789910739872825
relative_absolute_error
0.3161315736448089
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.1545399553703662
root_mean_squared_error
0.15458257097504546
root_mean_squared_error
0.15540846369613054
root_mean_squared_error
0.14886635493467476
root_mean_squared_error
0.1596445750529576
root_mean_squared_error
0.14577341330231527
root_mean_squared_error
0.15503142257743238
root_mean_squared_error
0.14813759305206936
root_mean_squared_error
0.14420768717442922
root_mean_squared_error
0.16242132984242466
root_relative_squared_error
0.5151331845678876
root_relative_squared_error
0.5152752365834852
root_relative_squared_error
0.5180282123204354
root_relative_squared_error
0.49622118311558283
root_relative_squared_error
0.5321485835098589
root_relative_squared_error
0.4859113776743845
root_relative_squared_error
0.5167714085914416
root_relative_squared_error
0.49379197684023146
root_relative_squared_error
0.48069229058143104
root_relative_squared_error
0.5414044328080826
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
3331.53954300019
usercpu_time_millis
3096.705807000035
usercpu_time_millis
3631.79236499991
usercpu_time_millis
3132.6672210000197
usercpu_time_millis
3118.541925000045
usercpu_time_millis
3107.745365000028
usercpu_time_millis
3134.584087000121
usercpu_time_millis
2966.1138010001196
usercpu_time_millis
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usercpu_time_millis
3105.2147230002447
usercpu_time_millis_testing
36.694964000162145
usercpu_time_millis_testing
36.93084400015323
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
36.979507000069134
usercpu_time_millis_testing
39.202685999953246
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
37.17858300001353
usercpu_time_millis_testing
36.971220000168614
usercpu_time_millis_training
3294.844579000028
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
3096.890051000173
usercpu_time_millis_training
2928.2204300000103
usercpu_time_millis_training
2938.8843320000433
usercpu_time_millis_training
3068.243503000076