8820219
1
Jan van Rijn
14967
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)
6795269
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
"mean"
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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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copy
true
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with_mean
false
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with_std
true
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C
19768.566406606078
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cache_size
200
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class_weight
null
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coef0
0.23532257578310234
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decision_function_shape
null
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degree
4
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gamma
9.924024593938537e-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
52300
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shrinking
true
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tol
1.2946829941742278e-05
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verbose
false
7708
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
18556308
description
https://api.openml.org/data/download/18556308/description.xml
-1
18556309
predictions
https://api.openml.org/data/download/18556309/predictions.arff
area_under_roc_curve
0.9889291226815001 [0.9945,0.989084,0.995185,0.967959,0.995037,0.991378]
average_cost
0
f_measure
0.9634459469958445 [0.987784,0.985163,0.966163,0.901923,0.984049,0.962121]
kappa
0.95491518535484
kb_relative_information_score
2330.6105611594844
mean_absolute_error
0.07088648862062956
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.9644240917196308 [0.992982,0.996997,0.946403,0.886578,1,1]
predictive_accuracy
0.9631616595135908
prior_entropy
2.5206634795042744
recall
0.9631616595135909 [0.982639,0.973607,0.986765,0.917808,0.968599,0.927007]
relative_absolute_error
0.259771679827769
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.147546981911434
root_relative_squared_error
0.3994549833819485
total_cost
0
area_under_roc_curve
0.9876363043886212 [1,0.942492,1,0.97046,1,1]
area_under_roc_curve
0.9870611465899574 [0.998291,1,0.992439,0.962154,0.973671,1]
area_under_roc_curve
0.9919493615822863 [1,1,0.998127,0.977823,0.975712,1]
area_under_roc_curve
0.9955278213106522 [1,0.997848,1,0.976882,1,1]
area_under_roc_curve
0.9876264037212096 [0.999922,0.970708,0.991884,0.963225,1,1]
area_under_roc_curve
0.9813835673412793 [0.966838,1,0.977317,0.96575,1,1]
area_under_roc_curve
0.9872522735831635 [1,0.995798,0.999791,0.938166,1,0.990888]
area_under_roc_curve
0.9942849528668916 [1,0.987515,1,0.979704,1,0.995003]
area_under_roc_curve
0.9982719807328146 [0.999921,1,0.99317,0.999742,1,1]
area_under_roc_curve
0.9777127375114278 [0.983009,0.995918,1,0.938768,1,0.926367]
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
0.9681587640179773 [0.973913,0.969697,0.985507,0.914286,0.987654,0.981818]
f_measure
0.9541740097186131 [0.982456,1,0.964029,0.878505,0.935065,0.981818]
f_measure
0.9680124448738575 [0.991453,0.985075,0.963504,0.912621,0.987654,0.981818]
f_measure
0.9680389913305146 [0.991304,0.969697,0.971429,0.912621,0.987654,0.981818]
f_measure
0.9501576936833536 [0.982759,0.985075,0.957143,0.867925,0.987654,0.92]
f_measure
0.9571878451648995 [0.982456,1,0.93617,0.88,1,0.981132]
f_measure
0.956810193911239 [1,0.969697,0.937931,0.886598,0.987952,0.981132]
f_measure
0.9787141250390414 [1,0.985075,0.992593,0.944444,0.987952,0.941176]
f_measure
0.9892862344196861 [0.982456,1,0.992593,0.970874,1,1]
f_measure
0.9424930323920439 [0.99115,0.985507,0.964029,0.851852,0.97561,0.851064]
kappa
0.9606839740389416
kappa
0.9431960049937579
kappa
0.9606962380685007
kappa
0.9606631076144984
kappa
0.9387011524808831
kappa
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kappa
0.9472739298875555
kappa
0.973694548768798
kappa
0.9868674982348788
kappa
0.9297052154195011
kb_relative_information_score
247.99078297856354
kb_relative_information_score
227.52739127262524
kb_relative_information_score
226.8710444013292
kb_relative_information_score
224.6053459607664
kb_relative_information_score
223.08084327659347
kb_relative_information_score
238.44945755988724
kb_relative_information_score
222.27455908645734
kb_relative_information_score
238.29910538902058
kb_relative_information_score
256.9781071953814
kb_relative_information_score
224.53392403886045
mean_absolute_error
0.04849058854279106
mean_absolute_error
0.0787387512961938
mean_absolute_error
0.08309006667467192
mean_absolute_error
0.08554779015254499
mean_absolute_error
0.08581693124741381
mean_absolute_error
0.06283639237628215
mean_absolute_error
0.08443446132485763
mean_absolute_error
0.06151646905466301
mean_absolute_error
0.03794390021431025
mean_absolute_error
0.08038071242448022
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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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
0.969189044038668 [0.982456,1,0.971429,0.888889,1,1]
precision
0.9570449482609945 [1,1,0.943662,0.839286,1,1]
precision
0.9684163616413063 [0.983051,1,0.956522,0.903846,1,1]
precision
0.9689942002442004 [1,1,0.944444,0.903846,1,1]
precision
0.9520502645502645 [0.982759,1,0.930556,0.851852,1,1]
precision
0.9581263229362195 [1,1,0.90411,0.897959,1,1]
precision
0.9595908999836068 [1,1,0.883117,0.934783,1,1]
precision
0.9807583474816073 [1,1,1,0.894737,1,1]
precision
0.9893851668045217 [0.982456,1,1,0.961538,1,1]
precision
0.9475106818993568 [1,0.971429,0.943662,0.807018,1,1]
predictive_accuracy
0.967857142857143
predictive_accuracy
0.9535714285714286
predictive_accuracy
0.967857142857143
predictive_accuracy
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predictive_accuracy
0.95
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9426523297491038
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
0.9678571428571429 [0.965517,0.941176,1,0.941176,0.97561,0.964286]
recall
0.9535714285714286 [0.965517,1,0.985294,0.921569,0.878049,0.964286]
recall
0.9678571428571429 [1,0.970588,0.970588,0.921569,0.97561,0.964286]
recall
0.9678571428571429 [0.982759,0.941176,1,0.921569,0.97561,0.964286]
recall
0.95 [0.982759,0.970588,0.985294,0.884615,0.97561,0.851852]
recall
0.9571428571428572 [0.965517,1,0.970588,0.862745,1,0.962963]
recall
0.956989247311828 [1,0.941176,1,0.843137,0.97619,0.962963]
recall
0.978494623655914 [1,0.970588,0.985294,1,0.97619,0.888889]
recall
0.989247311827957 [0.982456,1,0.985294,0.980392,1,1]
recall
0.942652329749104 [0.982456,1,0.985294,0.901961,0.952381,0.740741]
relative_absolute_error
0.17768304572159332
relative_absolute_error
0.28852075355358203
relative_absolute_error
0.30446518715559784
relative_absolute_error
0.31347097170499727
relative_absolute_error
0.31457324743482024
relative_absolute_error
0.23027409290915904
relative_absolute_error
0.30942573019378317
relative_absolute_error
0.22543850055425768
relative_absolute_error
0.13905245377288245
relative_absolute_error
0.2945700161424371
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
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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_prior_squared_error
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root_mean_squared_error
0.1251941453592835
root_mean_squared_error
0.16040164336183596
root_mean_squared_error
0.15410888025013253
root_mean_squared_error
0.15644004094239902
root_mean_squared_error
0.16281862543962938
root_mean_squared_error
0.14491600452059927
root_mean_squared_error
0.16339323849356438
root_mean_squared_error
0.13868616354041122
root_mean_squared_error
0.08459004689510671
root_mean_squared_error
0.16569623014456414
root_relative_squared_error
0.33890792867327263
root_relative_squared_error
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root_relative_squared_error
0.4171818198514259
root_relative_squared_error
0.42349240921128206
root_relative_squared_error
0.4409223211854443
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
0.22901563244896928
root_relative_squared_error
0.44859919498593454
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
0
total_cost
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total_cost
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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
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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
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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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
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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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