8609
3229
Test Test
259
Supervised Classification
31001
sklearn.ensemble._forest.RandomForestClassifier(7)
6918
Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1.
bootstrap
true
31001
ccp_alpha
0.0
31001
class_weight
null
31001
criterion
"gini"
31001
max_depth
null
31001
max_features
"sqrt"
31001
max_leaf_nodes
null
31001
max_samples
null
31001
min_impurity_decrease
0.0
31001
min_samples_leaf
1
31001
min_samples_split
2
31001
min_weight_fraction_leaf
0.0
31001
n_estimators
100
31001
n_jobs
null
31001
oob_score
false
31001
random_state
48179
31001
verbose
0
31001
warm_start
false
31001
openml-python
Sklearn_1.3.2.
44
collins
https://www.openml.org/data/download/52590/collins.arff
-1
21310
description
https://test.openml.org/data/download/21310/description.xml
-1
21311
predictions
https://test.openml.org/data/download/21311/predictions.arff
area_under_roc_curve
0.9935586804223271 [0.999452,0.992796,0.991292,0.967726,0.979436,0.990298,0.99851,0.996667,0.99997,0.994912,0.98525,0.986167,0.997474,0.993704,0.995021]
average_cost
0
f_measure
0.876433498483723 [0.966292,0.857143,0.733333,0.666667,0.756757,0.875,0.949367,0.931034,0.993789,0.912281,0.808511,0.285714,0.95082,0.830769,0.181818]
kappa
0.8740153303450654
kb_relative_information_score
0.6634654811576519
mean_absolute_error
0.07008800000000001
mean_prior_absolute_error
0.12117333333333336
weighted_recall
0.886 [0.977273,0.888889,0.647059,0.588235,0.777778,0.875,1,0.9,1,0.896552,0.791667,0.166667,1,0.931034,0.111111]
number_of_instances
500 [44,27,17,17,36,48,75,30,80,29,24,6,29,29,9]
precision
0.8827500722233798 [0.955556,0.827586,0.846154,0.769231,0.736842,0.875,0.903614,0.964286,0.987654,0.928571,0.826087,1,0.90625,0.75,0.5]
predictive_accuracy
0.8859999999999999
prior_entropy
3.648896764725036
relative_absolute_error
0.5784110915492957
root_mean_prior_squared_error
0.24604680271487664
root_mean_squared_error
0.15858709489320583
root_relative_squared_error
0.644540360384115
total_cost
0
unweighted_recall
0.7700842775284965 [0.977273,0.888889,0.647059,0.588235,0.777778,0.875,1,0.9,1,0.896552,0.791667,0.166667,1,0.931034,0.111111]
area_under_roc_curve
0.9963079453181212 [1,0.978723,1,1,0.983696,0.988889,1,1,1,1,1,1,1,1,0.0]
area_under_roc_curve
0.9983285270629991 [0.997283,1,1,1,1,1,1,1,1,1,1,1,1,0.96875,0.989796]
area_under_roc_curve
0.9904657960316412 [1,1,0.989583,1,0.972826,0.96,1,0.978723,1,1,0.979167,0.979592,1,0.992908,1]
area_under_roc_curve
0.9987222222222222 [0.995556,1,0.979167,1,1,1,1,1,1,1,1,0.0,1,1,1]
area_under_roc_curve
0.9950227412889301 [1,1,1,0.989583,0.945652,1,1,1,1,1,1,0.0,1,0.996454,1]
area_under_roc_curve
0.9924424873248714 [1,0.985816,1,0.959184,0.970109,0.977778,1,1,1,0.985816,1,0.0,1,0.992908,1]
area_under_roc_curve
0.987588736913205 [1,0.968085,0.989583,0.642857,0.992908,0.995556,0.991071,0.989362,1,1,1,0.0,1,1,1]
area_under_roc_curve
0.99384715588363 [1,1,1,0.979592,0.939716,1,1,1,1,0.996454,1,1,0.989362,0.978723,1]
area_under_roc_curve
0.9913728470111449 [1,1,1,0.958333,0.996454,1,1,1,1,1,0.929078,0.928571,0.98227,1,1]
area_under_roc_curve
0.9941905244367252 [1,1,1,0.994792,1,0.982222,0.997024,1,1,0.963542,0.985816,0.989796,0.992908,1,0.979592]
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
0.96 [1,1,1,1,0.75,0.8,1,1,1,1,1,1,1,1,0.0]
f_measure
0.9581471861471862 [0.909091,0.8,0.666667,1,0.857143,1,1,1,1,1,1,0.0,1,1,1]
kappa
0.9559471365638766
kappa
0.9118942731277534
kappa
0.8456109395677105
kappa
0.9558888398764888
kappa
0.9338040600176521
kappa
0.7993758359340168
kappa
0.8217468805704099
kappa
0.8228520814880425
kappa
0.8450641876936698
kappa
0.8447893569844789
kb_relative_information_score
0.6800838639524908
kb_relative_information_score
0.6827205271175117
kb_relative_information_score
0.6590180787446727
kb_relative_information_score
0.6752085659073296
kb_relative_information_score
0.7063874722525046
kb_relative_information_score
0.6467717207772757
kb_relative_information_score
0.6416949130661762
kb_relative_information_score
0.6548176067990846
kb_relative_information_score
0.6520497787359486
kb_relative_information_score
0.6356373507198569
mean_absolute_error
0.06925333333333338
mean_absolute_error
0.0686666666666667
mean_absolute_error
0.07074666666666668
mean_absolute_error
0.06896000000000001
mean_absolute_error
0.06352000000000001
mean_absolute_error
0.07160000000000002
mean_absolute_error
0.0717066666666667
mean_absolute_error
0.07144000000000003
mean_absolute_error
0.07120000000000001
mean_absolute_error
0.07378666666666667
mean_prior_absolute_error
0.12123754045307447
mean_prior_absolute_error
0.12137734627831719
mean_prior_absolute_error
0.12136699029126218
mean_prior_absolute_error
0.12117022653721687
mean_prior_absolute_error
0.12117022653721687
mean_prior_absolute_error
0.12088025889967641
mean_prior_absolute_error
0.12091650485436897
mean_prior_absolute_error
0.12123754045307447
mean_prior_absolute_error
0.12123754045307447
mean_prior_absolute_error
0.12113915857605181
weighted_recall
0.96 [1,1,1,1,0.75,0.8,1,1,1,1,1,1,1,1,0.0]
weighted_recall
0.92 [1,1,1,0.5,1,1,1,1,1,1,1,0,1,0.5,0]
weighted_recall
0.86 [1,1,0.5,1,1,0.6,1,0.666667,1,1,0.5,0,1,1,0]
weighted_recall
0.96 [1,1,0.5,1,0.75,1,1,1,1,1,1,0.0,1,1,1]
weighted_recall
0.94 [1,1,0.5,1,0.75,1,1,1,1,1,1,0.0,1,1,0]
weighted_recall
0.82 [1,0.666667,0,0,0.5,0.8,1,1,1,0.666667,1,0.0,1,1,0]
weighted_recall
0.84 [0.8,0.333333,0.5,0,0.666667,1,1,0.666667,1,1,1,0.0,1,1,0]
weighted_recall
0.84 [1,1,1,0,0.333333,0.75,1,0.666667,1,1,0.666667,0,1,1,0]
weighted_recall
0.86 [1,1,1,0,1,1,1,1,1,0.666667,0.333333,0,1,1,0]
weighted_recall
0.86 [1,1,1,0.5,1,0.8,1,1,1,0.5,0.666667,0,1,0.666667,0]
number_of_instances
50 [4,3,1,2,4,5,7,3,8,3,3,1,3,3,0]
number_of_instances
50 [4,3,2,2,4,5,7,3,8,3,2,1,3,2,1]
number_of_instances
50 [4,2,2,2,4,5,7,3,8,3,2,1,3,3,1]
number_of_instances
50 [5,2,2,2,4,5,7,3,8,3,2,0,3,3,1]
number_of_instances
50 [5,2,2,2,4,5,7,3,8,3,2,0,3,3,1]
number_of_instances
50 [5,3,2,1,4,5,8,3,8,3,2,0,2,3,1]
number_of_instances
50 [5,3,2,1,3,5,8,3,8,3,2,0,3,3,1]
number_of_instances
50 [4,3,2,1,3,4,8,3,8,3,3,1,3,3,1]
number_of_instances
50 [4,3,1,2,3,4,8,3,8,3,3,1,3,3,1]
number_of_instances
50 [4,3,1,2,3,5,8,3,8,2,3,1,3,3,1]
precision
0.96 [1,1,1,1,0.75,0.8,1,1,1,1,1,1,1,1,0.0]
precision
0.97 [0.833333,0.666667,1,1,1,1,1,1,1,1,1,0.0,1,1,1]
predictive_accuracy
0.96
predictive_accuracy
0.92
predictive_accuracy
0.86
predictive_accuracy
0.96
predictive_accuracy
0.94
predictive_accuracy
0.82
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.86
predictive_accuracy
0.86
prior_entropy
3.6478599172883523
prior_entropy
3.689037791069424
prior_entropy
3.6870470775984057
prior_entropy
3.633357114112964
prior_entropy
3.633357114112964
prior_entropy
3.593787777343957
prior_entropy
3.5998390327443657
prior_entropy
3.672946069316617
prior_entropy
3.672946069316617
prior_entropy
3.658789684346483
relative_absolute_error
0.5712202101306911
relative_absolute_error
0.5657288511582271
relative_absolute_error
0.5829152267588207
relative_absolute_error
0.5691167044143411
relative_absolute_error
0.524221187128755
relative_absolute_error
0.5923216962947099
relative_absolute_error
0.5930262932511134
relative_absolute_error
0.5892564277782524
relative_absolute_error
0.5872768429144954
relative_absolute_error
0.6091066467193843
root_mean_prior_squared_error
0.24617724558934095
root_mean_prior_squared_error
0.24646103560440827
root_mean_prior_squared_error
0.246440025328968
root_mean_prior_squared_error
0.2460404892087826
root_mean_prior_squared_error
0.2460404892087826
root_mean_prior_squared_error
0.2454505137345543
root_mean_prior_squared_error
0.24552433819735506
root_mean_prior_squared_error
0.24617724558934095
root_mean_prior_squared_error
0.24617724558934095
root_mean_prior_squared_error
0.24597734523514972
root_mean_squared_error
0.15571769327857385
root_mean_squared_error
0.15382934267124287
root_mean_squared_error
0.1613600528838122
root_mean_squared_error
0.15480999106431514
root_mean_squared_error
0.14547760423286235
root_mean_squared_error
0.1608949968146928
root_mean_squared_error
0.16098695599333504
root_mean_squared_error
0.16465802946308652
root_mean_squared_error
0.16178998732925348
root_mean_squared_error
0.1653118265581746
root_relative_squared_error
0.63254299927595
root_relative_squared_error
0.6241527886710359
root_relative_squared_error
0.6547639843341835
root_relative_squared_error
0.6292053456817346
root_relative_squared_error
0.5912750568034126
root_relative_squared_error
0.6555089022494157
root_relative_squared_error
0.6556863452939318
root_relative_squared_error
0.6688596627559957
root_relative_squared_error
0.6572093490685262
root_relative_squared_error
0.6720611867736828
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
181.65690000000012
usercpu_time_millis
183.3954999999996
usercpu_time_millis
185.0986999999975
usercpu_time_millis
181.83420000000083
usercpu_time_millis
182.02159999999878
usercpu_time_millis
183.6550999999993
usercpu_time_millis
183.70439999999988
usercpu_time_millis
183.19850000000315
usercpu_time_millis
182.5966000000001
usercpu_time_millis
183.74279999999743
usercpu_time_millis_testing
7.1966000000003305
usercpu_time_millis_testing
7.177399999999778
usercpu_time_millis_testing
7.350499999997595
usercpu_time_millis_testing
7.29610000000136
usercpu_time_millis_testing
7.288599999998979
usercpu_time_millis_testing
7.334199999998958
usercpu_time_millis_testing
7.535799999999426
usercpu_time_millis_testing
7.33770000000078
usercpu_time_millis_testing
7.382799999998468
usercpu_time_millis_testing
7.32839999999868
usercpu_time_millis_training
174.4602999999998
usercpu_time_millis_training
176.21809999999982
usercpu_time_millis_training
177.7481999999999
usercpu_time_millis_training
174.53809999999947
usercpu_time_millis_training
174.7329999999998
usercpu_time_millis_training
176.32090000000034
usercpu_time_millis_training
176.16860000000045
usercpu_time_millis_training
175.86080000000237
usercpu_time_millis_training
175.21380000000164
usercpu_time_millis_training
176.41439999999875
wall_clock_time_millis
181.6730499267578
wall_clock_time_millis
183.40182304382324
wall_clock_time_millis
185.1048469543457
wall_clock_time_millis
181.86211585998535
wall_clock_time_millis
182.0385456085205
wall_clock_time_millis
183.66217613220215
wall_clock_time_millis
183.71105194091797
wall_clock_time_millis
183.20584297180176
wall_clock_time_millis
182.63530731201172
wall_clock_time_millis
183.7482452392578
wall_clock_time_millis_training
174.47185516357422
wall_clock_time_millis_training
176.21946334838867
wall_clock_time_millis_training
177.7501106262207
wall_clock_time_millis_training
174.5619773864746
wall_clock_time_millis_training
174.7443675994873
wall_clock_time_millis_training
176.32317543029785
wall_clock_time_millis_training
176.17058753967285
wall_clock_time_millis_training
175.86326599121094
wall_clock_time_millis_training
175.2471923828125
wall_clock_time_millis_training
176.41639709472656
wall_clock_time_millis_testing
7.201194763183594
wall_clock_time_millis_testing
7.18235969543457
wall_clock_time_millis_testing
7.354736328125
wall_clock_time_millis_testing
7.300138473510742
wall_clock_time_millis_testing
7.294178009033203
wall_clock_time_millis_testing
7.339000701904297
wall_clock_time_millis_testing
7.540464401245117
wall_clock_time_millis_testing
7.34257698059082
wall_clock_time_millis_testing
7.388114929199219
wall_clock_time_millis_testing
7.33184814453125
unweighted_recall
0.8 [1,1,1,0.5,1,1,1,1,1,1,1,0,1,0.5,0]
unweighted_recall
0.7511111111111111 [1,1,0.5,1,1,0.6,1,0.666667,1,1,0.5,0,1,1,0]
unweighted_recall
0.6944444444444445 [1,1,1,0,0.333333,0.75,1,0.666667,1,1,0.666667,0,1,1,0]
unweighted_recall
0.7333333333333333 [1,1,1,0,1,1,1,1,1,0.666667,0.333333,0,1,1,0]
unweighted_recall
0.7422222222222222 [1,1,1,0.5,1,0.8,1,1,1,0.5,0.666667,0,1,0.666667,0]