5968470
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)
4003203
bootstrap
false
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.6136584835083279
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
5
6902
min_samples_split
15
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
63959
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
"median"
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
12860317
description
https://api.openml.org/data/download/12860317/description.xml
-1
12860318
predictions
https://api.openml.org/data/download/12860318/predictions.arff
area_under_roc_curve
0.9971557185858735 [0.998735,0.993883,0.997843,0.996756,0.996917,0.99731]
average_cost
0
f_measure
0.9564476691966851 [0.969539,0.935532,0.975,0.962302,0.941315,0.920863]
kappa
0.9467131979001584
kb_relative_information_score
2551.054999181635
mean_absolute_error
0.03335857700851263
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.956973897114125 [0.972077,0.957055,0.975,0.975855,0.915525,0.907801]
predictive_accuracy
0.9563662374821174
prior_entropy
2.5206634795042744
recall
0.9563662374821174 [0.967014,0.914956,0.975,0.949119,0.968599,0.934307]
relative_absolute_error
0.12224633713403361
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.10976975311308143
root_relative_squared_error
0.2971804257707326
total_cost
0
area_under_roc_curve
0.9982548253170664 [0.999379,0.993424,0.998266,1,1,0.996032]
area_under_roc_curve
0.9986955961069222 [1,1,0.996185,0.99863,0.999898,0.998866]
area_under_roc_curve
0.9974316565702225 [0.999068,0.997609,0.997087,0.999658,0.991019,1]
area_under_roc_curve
0.9948842809205368 [0.999767,0.979077,0.999792,0.992722,0.992142,1]
area_under_roc_curve
0.9988957720506995 [0.999146,0.999641,0.99785,0.999578,0.999898,0.997219]
area_under_roc_curve
0.9952138734160002 [0.997437,0.994636,0.996878,0.993835,0.993571,0.992095]
area_under_roc_curve
0.9995278781316456 [0.998815,0.99952,1,0.99914,1,0.999853]
area_under_roc_curve
0.9949695742918225 [1,0.985114,0.998676,0.992346,0.990356,0.999559]
area_under_roc_curve
0.9963897418408364 [0.995733,0.998439,0.995261,0.99785,0.999498,0.990447]
area_under_roc_curve
0.9978979018688129 [0.998182,0.998319,0.998467,0.994582,0.999397,0.999265]
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
0.9680651875672435 [0.965517,0.953846,0.971014,0.990099,1,0.896552]
f_measure
0.9788173919700286 [0.982456,0.971429,0.985294,0.990099,0.987654,0.931034]
f_measure
0.964499515427733 [0.982759,0.941176,0.962963,0.990099,0.95,0.933333]
f_measure
0.9499052061351425 [0.982759,0.875,0.992593,0.951456,0.870588,0.982456]
f_measure
0.9640149953964671 [0.973913,0.985507,0.977778,0.953271,0.963855,0.901961]
f_measure
0.9290106097221864 [0.955752,0.885714,0.941176,0.960784,0.888889,0.897959]
f_measure
0.9642414728884587 [0.948276,0.920635,0.992701,0.969697,1,0.915254]
f_measure
0.9473266364184185 [0.982759,0.920635,0.985294,0.926316,0.863158,0.981132]
f_measure
0.9402965596461206 [0.955752,0.953846,0.962963,0.94,0.953488,0.813559]
f_measure
0.9605748540356279 [0.964912,0.942857,0.978102,0.949495,0.953488,0.961538]
kappa
0.9607176817196926
kappa
0.9738619037246786
kappa
0.9564398948334604
kappa
0.9389332003988036
kappa
0.9563305156118407
kappa
0.9127141231666069
kappa
0.9562174377000816
kappa
0.9342972871137906
kappa
0.9256909193457417
kappa
0.9518248175182481
kb_relative_information_score
259.5041650627393
kb_relative_information_score
259.1149824789032
kb_relative_information_score
255.5671148457501
kb_relative_information_score
254.50355802355259
kb_relative_information_score
257.5017266484876
kb_relative_information_score
248.37587217022715
kb_relative_information_score
260.07994128512496
kb_relative_information_score
252.76320150740014
kb_relative_information_score
251.33750785188516
kb_relative_information_score
252.30692930755924
mean_absolute_error
0.028478465719548558
mean_absolute_error
0.0314987371735891
mean_absolute_error
0.03349040577111105
mean_absolute_error
0.032663811858743924
mean_absolute_error
0.030933187577876164
mean_absolute_error
0.04022875780623931
mean_absolute_error
0.026871153606437322
mean_absolute_error
0.03455430782292608
mean_absolute_error
0.03718956907867147
mean_absolute_error
0.03768761774218399
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
0.9691156462585033 [0.965517,1,0.957143,1,1,0.866667]
precision
0.9796825396825397 [1,0.944444,0.985294,1,1,0.9]
precision
0.965781668580176 [0.982759,0.941176,0.970149,1,0.974359,0.875]
precision
0.951081361167568 [0.982759,0.933333,1,0.942308,0.840909,0.965517]
precision
0.9647746537913885 [0.982456,0.971429,0.985075,0.927273,0.952381,0.958333]
precision
0.9336244367877021 [0.981818,0.885714,0.941176,0.960784,0.816327,1]
precision
0.9674958278636637 [0.932203,1,0.985507,1,1,0.84375]
precision
0.9554063177344279 [0.966102,1,0.985294,1,0.773585,1]
precision
0.9435095553810734 [0.964286,1,0.970149,0.959184,0.931818,0.75]
precision
0.9615394831909556 [0.964912,0.916667,0.971014,0.979167,0.931818,1]
predictive_accuracy
0.967857142857143
predictive_accuracy
0.9785714285714286
predictive_accuracy
0.9642857142857143
predictive_accuracy
0.95
predictive_accuracy
0.9642857142857143
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.96415770609319
predictive_accuracy
0.946236559139785
predictive_accuracy
0.939068100358423
predictive_accuracy
0.9605734767025089
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 [0.965517,0.911765,0.985294,0.980392,1,0.928571]
recall
0.9785714285714285 [0.965517,1,0.985294,0.980392,0.97561,0.964286]
recall
0.9642857142857143 [0.982759,0.941176,0.955882,0.980392,0.926829,1]
recall
0.95 [0.982759,0.823529,0.985294,0.960784,0.902439,1]
recall
0.9642857142857143 [0.965517,1,0.970588,0.980769,0.97561,0.851852]
recall
0.9285714285714286 [0.931034,0.885714,0.941176,0.960784,0.97561,0.814815]
recall
0.96415770609319 [0.964912,0.852941,1,0.941176,1,1]
recall
0.946236559139785 [1,0.852941,0.985294,0.862745,0.97619,0.962963]
recall
0.9390681003584229 [0.947368,0.911765,0.955882,0.921569,0.97619,0.888889]
recall
0.9605734767025089 [0.964912,0.970588,0.985294,0.921569,0.97619,0.925926]
relative_absolute_error
0.10435304413890535
relative_absolute_error
0.11542016142881689
relative_absolute_error
0.12271819086319803
relative_absolute_error
0.11968932014131123
relative_absolute_error
0.11338966714888438
relative_absolute_error
0.14742477030222706
relative_absolute_error
0.09847432192207686
relative_absolute_error
0.12663066432451933
relative_absolute_error
0.1362880675401699
relative_absolute_error
0.1381132591617102
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
0.09663158199561109
root_mean_squared_error
0.09685744847973006
root_mean_squared_error
0.10695750727460694
root_mean_squared_error
0.11391143421144091
root_mean_squared_error
0.10353178842099886
root_mean_squared_error
0.13079822794611812
root_mean_squared_error
0.0915006280092673
root_mean_squared_error
0.12108530092418827
root_mean_squared_error
0.11726042487858333
root_mean_squared_error
0.112929134989828
root_relative_squared_error
0.2615873865712332
root_relative_squared_error
0.2621988204531436
root_relative_squared_error
0.28954027476657546
root_relative_squared_error
0.30836496475143277
root_relative_squared_error
0.28037011333198636
root_relative_squared_error
0.35411544735227296
root_relative_squared_error
0.24772505705080075
root_relative_squared_error
0.3278213902140639
root_relative_squared_error
0.3174660772809793
root_relative_squared_error
0.30573972022595675
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
1974.783828999996
usercpu_time_millis
1896.344379999995
usercpu_time_millis
1821.3867749999936
usercpu_time_millis
1847.4826039999996
usercpu_time_millis
1935.1432650000006
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
1782.5241309999951
usercpu_time_millis
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usercpu_time_millis
1835.646824000008
usercpu_time_millis_testing
23.777025999997647
usercpu_time_millis_testing
25.206670999999403
usercpu_time_millis_testing
23.18906699999701
usercpu_time_millis_testing
23.778681999999662
usercpu_time_millis_testing
24.260210000001337
usercpu_time_millis_testing
23.483464000001675
usercpu_time_millis_testing
23.236828999998238
usercpu_time_millis_testing
22.648302999996872
usercpu_time_millis_testing
22.73413000000346
usercpu_time_millis_testing
22.507180000005178
usercpu_time_millis_training
1951.0068029999984
usercpu_time_millis_training
1871.1377089999955
usercpu_time_millis_training
1798.1977079999965
usercpu_time_millis_training
1823.703922
usercpu_time_millis_training
1910.8830549999993
usercpu_time_millis_training
1817.9864800000018
usercpu_time_millis_training
1930.0886940000055
usercpu_time_millis_training
1759.8758279999984
usercpu_time_millis_training
1741.6080770000021
usercpu_time_millis_training
1813.139644000003