8991530
1
Jan van Rijn
14967
Supervised Classification
8330
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)(2)
6927085
axis
0
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categorical_features
[0, 1]
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copy
true
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fill_empty
0
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missing_values
"NaN"
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strategy
"median"
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strategy_nominal
"most_frequent"
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verbose
0
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categorical_features
[0, 1]
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
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threshold
0.0
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C
4.658979146006545
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cache_size
200
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class_weight
null
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coef0
0.9621302329659374
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decision_function_shape
null
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degree
2
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gamma
4.005557240611802e-05
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kernel
"sigmoid"
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max_iter
-1
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probability
true
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random_state
40296
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shrinking
false
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tol
1.9547390688488682e-05
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verbose
false
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copy
true
7713
with_mean
false
7713
with_std
true
7713
openml-pimp
openml-python
Sklearn_0.18.1.
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
18898021
description
https://api.openml.org/data/download/18898021/description.xml
-1
18898022
predictions
https://api.openml.org/data/download/18898022/predictions.arff
area_under_roc_curve
0.9972539459903419 [0.996409,0.996725,0.99538,0.998149,0.999813,0.998802]
average_cost
0
f_measure
0.9789386313999039 [0.986807,0.974513,0.989599,0.984221,0.979738,0.93039]
kappa
0.9738330509343033
kb_relative_information_score
2716.5940308129725
mean_absolute_error
0.01021635524897122
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.980539781944738 [1,0.996933,1,0.992048,0.967059,0.869841]
predictive_accuracy
0.9785407725321889
prior_entropy
2.5206634795042744
recall
0.9785407725321889 [0.973958,0.953079,0.979412,0.976517,0.992754,1]
relative_absolute_error
0.0374390072972263
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.0730484017221209
root_relative_squared_error
0.19776445250166425
total_cost
0
area_under_roc_curve
0.9959884969360343 [1,0.970827,1,0.999914,1,0.995465]
area_under_roc_curve
0.9992768857859815 [0.999223,1,0.99889,1,0.998775,0.998866]
area_under_roc_curve
0.9995942640183385 [1,0.999761,0.998821,0.999914,0.99949,1]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.9932932838285586 [1,1,0.973779,1,1,0.996487]
area_under_roc_curve
0.9973056947682912 [0.989049,1,0.999237,0.999144,1,0.999122]
area_under_roc_curve
0.9992276019488292 [0.998973,0.997959,1,1,0.9999,0.996914]
area_under_roc_curve
0.9967473870768072 [1,1,0.987106,0.999398,1,1]
area_under_roc_curve
0.9915832185492648 [0.977636,0.99976,0.996167,0.984864,0.999598,0.999412]
area_under_roc_curve
0.9999201238590033 [0.999763,1,1,0.999828,1,1]
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
0.975963770528988 [0.991304,0.953846,1,0.969697,1,0.888889]
f_measure
0.9825030860733924 [0.982456,1,0.985075,1,0.97561,0.933333]
f_measure
0.9787691640016116 [0.991304,0.985075,0.985075,0.980392,0.952381,0.965517]
f_measure
0.9859299959299959 [1,0.953846,0.992593,1,1,0.933333]
f_measure
0.9823468278325367 [0.991304,0.985075,0.977444,1,0.97619,0.947368]
f_measure
0.9753490919974821 [0.973451,0.971429,0.985075,0.970874,1,0.931034]
f_measure
0.9756229191428432 [0.982143,0.953846,1,0.98,0.988235,0.9]
f_measure
0.9786781728562395 [1,0.969697,0.992593,0.969697,0.965517,0.947368]
f_measure
0.9684342109151594 [0.972973,0.969697,0.977444,0.990099,0.954545,0.915254]
f_measure
0.9858604520759082 [0.982143,1,1,0.980392,0.987952,0.947368]
kappa
0.9695212029794579
kappa
0.9782372143634385
kappa
0.9738643434971997
kappa
0.9825675507408792
kappa
0.9782185919875535
kappa
0.9695306791860339
kappa
0.9694040606592305
kappa
0.9737617554858934
kappa
0.9607097591888467
kappa
0.9825059175771638
kb_relative_information_score
270.8077158170276
kb_relative_information_score
272.7041022313864
kb_relative_information_score
272.2805000052704
kb_relative_information_score
274.2585457850939
kb_relative_information_score
273.08897074413346
kb_relative_information_score
270.9524251419157
kb_relative_information_score
269.25561471989323
kb_relative_information_score
271.0834405301395
kb_relative_information_score
268.42610804150854
kb_relative_information_score
273.73660779660736
mean_absolute_error
0.011361336570752964
mean_absolute_error
0.010195355479126172
mean_absolute_error
0.009638946556818396
mean_absolute_error
0.007907510762629513
mean_absolute_error
0.009268943167241056
mean_absolute_error
0.01242620615978234
mean_absolute_error
0.01161248831163193
mean_absolute_error
0.00975901054037906
mean_absolute_error
0.012724670161169694
mean_absolute_error
0.007270876295584257
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
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number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
precision
0.9799999999999999 [1,1,1,1,1,0.8]
precision
0.9839285714285714 [1,1,1,1,0.97561,0.875]
precision
0.979545957918051 [1,1,1,0.980392,0.930233,0.933333]
precision
0.9875 [1,1,1,1,1,0.875]
precision
0.983546511627907 [1,1,1,1,0.953488,0.9]
precision
0.9769806806097129 [1,0.971429,1,0.961538,1,0.870968]
precision
0.9789038168633069 [1,1,1,1,0.976744,0.818182]
precision
0.9802867383512545 [1,1,1,1,0.933333,0.9]
precision
0.9717888031790556 [1,1,1,1,0.913043,0.84375]
precision
0.9867383512544803 [1,1,1,0.980392,1,0.9]
predictive_accuracy
0.975
predictive_accuracy
0.9821428571428571
predictive_accuracy
0.9785714285714286
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9821428571428571
predictive_accuracy
0.975
predictive_accuracy
0.974910394265233
predictive_accuracy
0.9784946236559139
predictive_accuracy
0.967741935483871
predictive_accuracy
0.9856630824372761
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.975 [0.982759,0.911765,1,0.941176,1,1]
recall
0.9821428571428571 [0.965517,1,0.970588,1,0.97561,1]
recall
0.9785714285714285 [0.982759,0.970588,0.970588,0.980392,0.97561,1]
recall
0.9857142857142858 [1,0.911765,0.985294,1,1,1]
recall
0.9821428571428571 [0.982759,0.970588,0.955882,1,1,1]
recall
0.975 [0.948276,0.971429,0.970588,0.980392,1,1]
recall
0.974910394265233 [0.964912,0.911765,1,0.960784,1,1]
recall
0.978494623655914 [1,0.941176,0.985294,0.941176,1,1]
recall
0.967741935483871 [0.947368,0.941176,0.955882,0.980392,1,1]
recall
0.985663082437276 [0.964912,1,1,0.980392,0.97619,1]
relative_absolute_error
0.041631107108095214
relative_absolute_error
0.037358627069392185
relative_absolute_error
0.035319789535072074
relative_absolute_error
0.028975325699344853
relative_absolute_error
0.033976530155821395
relative_absolute_error
0.04553783633234398
relative_absolute_error
0.042556115344525074
relative_absolute_error
0.03576370258119496
relative_absolute_error
0.04663191183213978
relative_absolute_error
0.026645473561486256
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
0.07879328884931268
root_mean_squared_error
0.0713958253541594
root_mean_squared_error
0.06833480363623036
root_mean_squared_error
0.05610127012546548
root_mean_squared_error
0.0667613816947846
root_mean_squared_error
0.07721014091074005
root_mean_squared_error
0.08406135708360112
root_mean_squared_error
0.07377293346095945
root_mean_squared_error
0.09096100219603062
root_mean_squared_error
0.055187571842537794
root_relative_squared_error
0.21329807588558514
root_relative_squared_error
0.19327270630153823
root_relative_squared_error
0.18498634013744902
root_relative_squared_error
0.1518694440510542
root_relative_squared_error
0.18079371019703447
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.24626409619972772
root_relative_squared_error
0.14941257432466137
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
0
usercpu_time_millis
5608.5044459905475
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_training
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