6003256
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)
4037988
bootstrap
false
6902
class_weight
null
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criterion
"gini"
6902
max_depth
null
6902
max_features
0.10819522722070048
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
10
6902
min_samples_split
13
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
13923
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
12929615
description
https://api.openml.org/data/download/12929615/description.xml
-1
12929616
predictions
https://api.openml.org/data/download/12929616/predictions.arff
area_under_roc_curve
0.9967164795540236 [0.998887,0.992926,0.997583,0.997129,0.998782,0.99083]
average_cost
0
f_measure
0.9630612266119004 [0.988606,0.959398,0.988864,0.944499,0.962529,0.885305]
kappa
0.9545967822524231
kb_relative_information_score
2277.967413058725
mean_absolute_error
0.07647447131991318
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.963882523569925 [0.99823,0.984568,0.998501,0.939922,0.934091,0.869718]
predictive_accuracy
0.9628040057224606
prior_entropy
2.5206634795042744
recall
0.9628040057224606 [0.979167,0.935484,0.979412,0.949119,0.992754,0.90146]
relative_absolute_error
0.280249484285119
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.14696768041635225
root_relative_squared_error
0.39788663636398025
total_cost
0
area_under_roc_curve
0.9968132325362451 [0.998602,0.996413,0.993479,0.999229,0.999898,0.992772]
area_under_roc_curve
0.9980547798404807 [0.999689,1,0.993618,0.999743,0.999898,0.997307]
area_under_roc_curve
0.9989747048830034 [0.999922,0.997848,0.999861,1,0.99551,0.999433]
area_under_roc_curve
0.9949892513558815 [1,0.969512,1,1,0.995612,0.993339]
area_under_roc_curve
0.99769696164093 [0.999767,1,0.997017,0.998144,1,0.987703]
area_under_roc_curve
0.9929855739265926 [0.993865,0.979125,0.999514,0.995462,0.999796,0.977602]
area_under_roc_curve
0.9981210341472981 [0.998024,0.99964,1,0.99871,0.9999,0.987801]
area_under_roc_curve
0.9955826401372336 [1,0.99928,0.997073,0.986326,0.999196,0.989712]
area_under_roc_curve
0.9963867170538979 [0.998815,0.99892,0.997421,0.99484,0.999598,0.983392]
area_under_roc_curve
0.9987556378841336 [0.999842,0.995918,0.998885,0.999484,0.999196,0.997648]
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
0.9575498854962281 [0.991304,0.939394,0.992593,0.96,0.942529,0.842105]
f_measure
0.9750350297759581 [0.982456,0.985507,0.992593,0.960784,0.97619,0.928571]
f_measure
0.9786504123510185 [0.991304,0.955224,0.992593,0.980392,0.963855,0.965517]
f_measure
0.9675499277223415 [0.991453,0.920635,0.992593,0.971429,0.95122,0.931034]
f_measure
0.9641543724961762 [0.991304,0.985507,0.977444,0.943396,0.964706,0.884615]
f_measure
0.9355044866543608 [0.982456,0.955224,0.985075,0.872727,0.953488,0.77551]
f_measure
0.9786041639952372 [0.99115,0.970588,0.992701,0.98,0.988235,0.909091]
f_measure
0.9503983616624206 [1,0.9375,0.992593,0.907216,0.94382,0.847458]
f_measure
0.9477137072785055 [0.982143,0.953846,0.977444,0.912621,0.976744,0.813559]
f_measure
0.9750895101508091 [0.982143,0.985075,0.992593,0.960784,0.965517,0.945455]
kappa
0.9477067218651269
kappa
0.9694979613433347
kappa
0.9738533609325635
kappa
0.9607238041801094
kappa
0.9563842547159526
kappa
0.9213679480778831
kappa
0.9737370567932225
kappa
0.9388081213184609
kappa
0.9344742280954469
kappa
0.969379595804393
kb_relative_information_score
227.4716713146298
kb_relative_information_score
231.69910733133673
kb_relative_information_score
234.95768272486632
kb_relative_information_score
232.18085438261178
kb_relative_information_score
228.15787480628347
kb_relative_information_score
221.7130164205435
kb_relative_information_score
226.07936406508168
kb_relative_information_score
226.40828924351175
kb_relative_information_score
225.92842670083553
kb_relative_information_score
223.37112606901897
mean_absolute_error
0.07755743602157451
mean_absolute_error
0.07453663242598688
mean_absolute_error
0.06831118962812972
mean_absolute_error
0.07049902881254583
mean_absolute_error
0.07665854621940064
mean_absolute_error
0.08288779676421057
mean_absolute_error
0.07797149741233407
mean_absolute_error
0.07562900458625774
mean_absolute_error
0.07708583147494862
mean_absolute_error
0.08363784375355506
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
0.9593306275980086 [1,0.96875,1,0.979592,0.891304,0.827586]
precision
0.9754342667299478 [1,0.971429,1,0.960784,0.953488,0.928571]
precision
0.9791094619666049 [1,0.969697,1,0.980392,0.952381,0.933333]
precision
0.9692271993543179 [0.983051,1,1,0.944444,0.95122,0.9]
precision
0.9650759465402321 [1,0.971429,1,0.925926,0.931818,0.92]
precision
0.9398759385623793 [1,1,1,0.813559,0.911111,0.863636]
precision
0.9790139477588513 [1,0.970588,0.985507,1,0.976744,0.892857]
precision
0.9548683641192446 [1,1,1,0.956522,0.893617,0.78125]
precision
0.9513873223550643 [1,1,1,0.903846,0.954545,0.75]
precision
0.9758832565284177 [1,1,1,0.960784,0.933333,0.928571]
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.975
predictive_accuracy
0.9785714285714286
predictive_accuracy
0.967857142857143
predictive_accuracy
0.9642857142857143
predictive_accuracy
0.9357142857142857
predictive_accuracy
0.9784946236559139
predictive_accuracy
0.949820788530466
predictive_accuracy
0.946236559139785
predictive_accuracy
0.974910394265233
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
0.9571428571428572 [0.982759,0.911765,0.985294,0.941176,1,0.857143]
recall
0.975 [0.965517,1,0.985294,0.960784,1,0.928571]
recall
0.9785714285714285 [0.982759,0.941176,0.985294,0.980392,0.97561,1]
recall
0.9678571428571429 [1,0.852941,0.985294,1,0.95122,0.964286]
recall
0.9642857142857143 [0.982759,1,0.955882,0.961538,1,0.851852]
recall
0.9357142857142857 [0.965517,0.914286,0.970588,0.941176,1,0.703704]
recall
0.978494623655914 [0.982456,0.970588,1,0.960784,1,0.925926]
recall
0.9498207885304659 [1,0.882353,0.985294,0.862745,1,0.925926]
recall
0.946236559139785 [0.964912,0.911765,0.955882,0.921569,1,0.888889]
recall
0.974910394265233 [0.964912,0.970588,0.985294,0.960784,1,0.962963]
relative_absolute_error
0.28419208479002256
relative_absolute_error
0.27312301758501023
relative_absolute_error
0.2503112582203518
relative_absolute_error
0.25832811141843265
relative_absolute_error
0.28100198267804927
relative_absolute_error
0.3037556977940343
relative_absolute_error
0.2857410012754034
relative_absolute_error
0.27715650222360483
relative_absolute_error
0.2824953143238533
relative_absolute_error
0.3065063774814218
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
0.1488671895243423
root_mean_squared_error
0.1395498592197907
root_mean_squared_error
0.13504339313928806
root_mean_squared_error
0.13938195966128822
root_mean_squared_error
0.1456889256973467
root_mean_squared_error
0.15747444356773424
root_mean_squared_error
0.14845367389151745
root_mean_squared_error
0.15097099754631685
root_mean_squared_error
0.15060797907722712
root_mean_squared_error
0.15222908787811135
root_relative_squared_error
0.40299225418503304
root_relative_squared_error
0.3777696920179426
root_relative_squared_error
0.3655704227901643
root_relative_squared_error
0.37731517801943304
root_relative_squared_error
0.3945340965509263
root_relative_squared_error
0.4263370682170887
root_relative_squared_error
0.4019174035663716
root_relative_squared_error
0.40873270264756867
root_relative_squared_error
0.40774988129516615
root_relative_squared_error
0.4121388049443451
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
528.3685590002278
usercpu_time_millis
451.3064970014966
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
29.88203700078884
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
24.23435500168125
usercpu_time_millis_testing
23.94052400268265
usercpu_time_millis_testing
24.185680002119625
usercpu_time_millis_training
498.486521999439
usercpu_time_millis_training
427.31724500117707
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
389.872915999149
usercpu_time_millis_training
384.26268300099764