6021493
1
Jan van Rijn
14967
Supervised Classification
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4056178
bootstrap
false
6902
class_weight
null
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criterion
"gini"
6902
max_depth
null
6902
max_features
0.40316705574899914
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
6
6902
min_samples_split
3
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
33367
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[0, 1]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0, 1]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
12966107
description
https://api.openml.org/data/download/12966107/description.xml
-1
12966108
predictions
https://api.openml.org/data/download/12966108/predictions.arff
area_under_roc_curve
0.9990793238472694 [0.999381,0.99713,0.999167,0.999511,0.999728,0.998868]
average_cost
0
f_measure
0.9741556017609652 [0.984348,0.949704,0.988166,0.97734,0.987864,0.921739]
kappa
0.9681381896051523
kb_relative_information_score
2613.0071868699506
mean_absolute_error
0.026224923397512635
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.9748793335464482 [0.986063,0.958209,0.994048,0.984127,0.992683,0.880399]
predictive_accuracy
0.9738912732474964
prior_entropy
2.5206634795042744
recall
0.9738912732474965 [0.982639,0.941349,0.982353,0.970646,0.983092,0.967153]
relative_absolute_error
0.09610424407936934
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.08972251220603525
root_relative_squared_error
0.24290638925953587
total_cost
0
area_under_roc_curve
0.9992715478375528 [0.999845,0.997609,0.999029,1,1,0.998299]
area_under_roc_curve
0.999433822374079 [1,1,0.99785,0.999914,1,0.999717]
area_under_roc_curve
0.9995638574305629 [0.999456,0.998804,0.999514,0.999914,0.999694,1]
area_under_roc_curve
0.9984168218261894 [1,0.98912,1,1,0.999082,0.998724]
area_under_roc_curve
0.9994968731022874 [1,1,0.998335,1,1,0.998975]
area_under_roc_curve
0.9985611135948511 [0.998835,0.995219,0.998821,0.999829,1,0.997072]
area_under_roc_curve
0.9996909028035231 [0.999289,0.99916,1,0.999742,1,0.999853]
area_under_roc_curve
0.9989789417077325 [1,0.995438,0.999582,0.998796,0.9999,0.998677]
area_under_roc_curve
0.9988968968133934 [0.996997,0.99952,0.999512,0.999226,1,0.998236]
area_under_roc_curve
0.9994356281087864 [0.999447,0.99928,0.999024,0.999312,1,1]
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
0.9824813863584274 [0.991304,0.969697,0.992593,1,0.987952,0.915254]
f_measure
0.9857088373106679 [0.982456,0.985507,0.985294,0.980392,1,0.982456]
f_measure
0.9789895372818855 [0.991304,0.956522,0.992593,0.990099,0.975,0.933333]
f_measure
0.9540029871602675 [0.983051,0.861538,0.992593,0.970297,0.962025,0.870968]
f_measure
0.9856789502621662 [1,0.971429,0.985075,0.990476,1,0.943396]
f_measure
0.9610188744385285 [0.973913,0.901408,0.977444,0.980769,1,0.872727]
f_measure
0.9678495305664842 [0.965517,0.953846,0.985507,0.959184,0.987952,0.931034]
f_measure
0.9749977826346918 [1,0.969697,0.985294,0.96,0.976744,0.928571]
f_measure
0.9682536845046174 [0.973451,0.955224,0.992593,0.950495,1,0.896552]
f_measure
0.9823092081479652 [0.982456,0.970588,0.992593,0.990099,0.987952,0.947368]
kappa
0.978213168583389
kappa
0.9825664653508499
kappa
0.9738736917406653
kappa
0.9433463035019456
kappa
0.9825504401339877
kappa
0.9520801568285777
kappa
0.9605857977020155
kappa
0.9693647058823529
kappa
0.9606549670949546
kappa
0.978134110787172
kb_relative_information_score
263.25699915415817
kb_relative_information_score
265.23502363233854
kb_relative_information_score
263.2565799057065
kb_relative_information_score
261.52094198562884
kb_relative_information_score
263.18762859139156
kb_relative_information_score
256.82005553757
kb_relative_information_score
262.0616768472088
kb_relative_information_score
257.65940150704233
kb_relative_information_score
260.33045012932746
kb_relative_information_score
259.67842957957674
mean_absolute_error
0.02456868319145248
mean_absolute_error
0.023133002517684815
mean_absolute_error
0.024087531605096617
mean_absolute_error
0.024635214547732598
mean_absolute_error
0.02449722814522239
mean_absolute_error
0.03146800204366028
mean_absolute_error
0.024401462580275892
mean_absolute_error
0.030111992986541273
mean_absolute_error
0.026597202694829285
mean_absolute_error
0.028766691004330384
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
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
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
0.9836103796357252 [1,1,1,1,0.97619,0.870968]
precision
0.9859394792399718 [1,0.971429,0.985294,0.980392,1,0.965517]
precision
0.9805612244897958 [1,0.942857,1,1,1,0.875]
precision
0.9571129935845306 [0.966667,0.903226,1,0.98,1,0.794118]
precision
0.9860411339184925 [1,0.944444,1,0.981132,1,0.961538]
precision
0.9618282003301155 [0.982456,0.888889,1,0.962264,1,0.857143]
precision
0.97016117134285 [0.949153,1,0.971429,1,1,0.870968]
precision
0.9758315029250991 [1,1,0.985294,0.979592,0.954545,0.896552]
precision
0.9697383552586467 [0.982143,0.969697,1,0.96,1,0.83871]
precision
0.9831541218637994 [0.982456,0.970588,1,1,1,0.9]
predictive_accuracy
0.9821428571428571
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9785714285714286
predictive_accuracy
0.9535714285714286
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9607142857142857
predictive_accuracy
0.967741935483871
predictive_accuracy
0.974910394265233
predictive_accuracy
0.967741935483871
predictive_accuracy
0.982078853046595
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
0.9821428571428571 [0.982759,0.941176,0.985294,1,1,0.964286]
recall
0.9857142857142858 [0.965517,1,0.985294,0.980392,1,1]
recall
0.9785714285714285 [0.982759,0.970588,0.985294,0.980392,0.95122,1]
recall
0.9535714285714286 [1,0.823529,0.985294,0.960784,0.926829,0.964286]
recall
0.9857142857142858 [1,1,0.970588,1,1,0.925926]
recall
0.9607142857142857 [0.965517,0.914286,0.955882,1,1,0.888889]
recall
0.967741935483871 [0.982456,0.911765,1,0.921569,0.97619,1]
recall
0.974910394265233 [1,0.941176,0.985294,0.941176,1,0.962963]
recall
0.967741935483871 [0.964912,0.941176,0.985294,0.941176,1,0.962963]
recall
0.982078853046595 [0.982456,0.970588,0.985294,0.980392,0.97619,1]
relative_absolute_error
0.09002651009223907
relative_absolute_error
0.08476577553601576
relative_absolute_error
0.0882634364343056
relative_absolute_error
0.09027029954448317
relative_absolute_error
0.08979781144325781
relative_absolute_error
0.11531956804386127
relative_absolute_error
0.08942368149478894
relative_absolute_error
0.11035097839497375
relative_absolute_error
0.09747037804026029
relative_absolute_error
0.10542086998135854
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
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.08338581508896849
root_mean_squared_error
0.07692986235389228
root_mean_squared_error
0.08395159668982345
root_mean_squared_error
0.09211546237689731
root_mean_squared_error
0.08548886721634832
root_mean_squared_error
0.10346478658594851
root_mean_squared_error
0.08657277129348312
root_mean_squared_error
0.09835307298156674
root_mean_squared_error
0.09263914340154171
root_mean_squared_error
0.09132372590198538
root_relative_squared_error
0.22573031503536892
root_relative_squared_error
0.20825367055827967
root_relative_squared_error
0.22726191916810948
root_relative_squared_error
0.2493619846466733
root_relative_squared_error
0.23150883178609608
root_relative_squared_error
0.2801144920876429
root_relative_squared_error
0.23438357937337798
root_relative_squared_error
0.26627708624046303
root_relative_squared_error
0.2508074270480409
root_relative_squared_error
0.24724611952247716
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
1071.7109010001877
usercpu_time_millis
1070.326052999917
usercpu_time_millis
1066.0481140002958
usercpu_time_millis
1074.8294739996709
usercpu_time_millis
1078.309531999821
usercpu_time_millis
1061.6147880000426
usercpu_time_millis
1094.7925720001876
usercpu_time_millis
1059.358591000091
usercpu_time_millis
1067.6889559999836
usercpu_time_millis
1082.8609320001306
usercpu_time_millis_testing
25.22519900003317
usercpu_time_millis_testing
25.43634399989969
usercpu_time_millis_testing
25.004515000091487
usercpu_time_millis_testing
25.386508999872603
usercpu_time_millis_testing
25.303329000053054
usercpu_time_millis_testing
25.530664000143588
usercpu_time_millis_testing
25.395986000148696
usercpu_time_millis_testing
25.3761899998608
usercpu_time_millis_testing
25.027377999776945
usercpu_time_millis_testing
25.6038620000254
usercpu_time_millis_training
1046.4857020001546
usercpu_time_millis_training
1044.8897090000173
usercpu_time_millis_training
1041.0435990002043
usercpu_time_millis_training
1049.4429649997983
usercpu_time_millis_training
1053.006202999768
usercpu_time_millis_training
1036.084123999899
usercpu_time_millis_training
1069.396586000039
usercpu_time_millis_training
1033.9824010002303
usercpu_time_millis_training
1042.6615780002066
usercpu_time_millis_training
1057.2570700001052