10591649
32516
Gaurav Kumar
3954
Supervised Classification
19095
sklearn.ensemble._forest.RandomForestClassifier(12)
8304428
Python_3.7.15. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
bootstrap
true
19095
ccp_alpha
0.0
19095
class_weight
null
19095
criterion
"gini"
19095
max_depth
null
19095
max_features
"auto"
19095
max_leaf_nodes
null
19095
max_samples
null
19095
min_impurity_decrease
0.0
19095
min_samples_leaf
1
19095
min_samples_split
2
19095
min_weight_fraction_leaf
0.0
19095
n_estimators
100
19095
n_jobs
null
19095
oob_score
false
19095
random_state
9975
19095
verbose
0
19095
warm_start
false
19095
openml-python
Sklearn_1.0.2.
1120
MagicTelescope
https://www.openml.org/data/download/54003/MagicTelescope.arff
-1
22110905
description
https://api.openml.org/data/download/22110905/description.xml
-1
22110906
predictions
https://api.openml.org/data/download/22110906/predictions.arff
area_under_roc_curve
0.9372620046923474 [0.937262,0.937262]
average_cost
0
f_measure
0.8796757199094335 [0.911582,0.820843]
kappa
0.7329673701929497
kb_relative_information_score
0.5978652208129135
mean_absolute_error
0.19408727655100588
mean_prior_absolute_error
0.45597723417494307
weighted_recall
0.8815983175604627 [0.941372,0.771382]
number_of_instances
19020 [12332,6688]
precision
0.8813212854217819 [0.88362,0.877083]
predictive_accuracy
0.8815983175604627
prior_entropy
0.9355152453166837
relative_absolute_error
0.42565124309811736
root_mean_prior_squared_error
0.47747911240123586
root_mean_squared_error
0.29866853147419903
root_relative_squared_error
0.6255111976986786
total_cost
0
unweighted_recall
0.8563768095839664 [0.941372,0.771382]
area_under_roc_curve
0.9366617251720222 [0.936662,0.936662]
area_under_roc_curve
0.9399948077912246 [0.939995,0.939995]
area_under_roc_curve
0.936165028240574 [0.936165,0.936165]
area_under_roc_curve
0.9411633492023658 [0.941163,0.941163]
area_under_roc_curve
0.9315649484711054 [0.931565,0.931565]
area_under_roc_curve
0.9455306669964127 [0.945531,0.945531]
area_under_roc_curve
0.9331397287110683 [0.93314,0.93314]
area_under_roc_curve
0.9334955393349553 [0.933496,0.933496]
area_under_roc_curve
0.9435346118269754 [0.943535,0.943535]
area_under_roc_curve
0.9322892988894101 [0.932289,0.932289]
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
0.8792032443665888 [0.911373,0.819777]
f_measure
0.8783792060140323 [0.909163,0.821512]
f_measure
0.8767474799401948 [0.911137,0.813366]
f_measure
0.8921468290664133 [0.919476,0.841777]
f_measure
0.8776205634840304 [0.911146,0.815832]
f_measure
0.8858102121845691 [0.916829,0.82864]
f_measure
0.8718715526390235 [0.906677,0.807723]
f_measure
0.8734764253780777 [0.906803,0.812054]
f_measure
0.8841529920587371 [0.913561,0.829953]
f_measure
0.877073070521445 [0.909733,0.816879]
kappa
0.7317134062159064
kappa
0.7309088078407241
kappa
0.7255722521500803
kappa
0.7614765613127296
kappa
0.7278344925233187
kappa
0.7461893252239419
kappa
0.7152077405094933
kappa
0.7193757680570445
kappa
0.7437623982647065
kappa
0.7271853051999805
kb_relative_information_score
0.594716251482227
kb_relative_information_score
0.6017839846216085
kb_relative_information_score
0.5952208980434505
kb_relative_information_score
0.6064674241803784
kb_relative_information_score
0.5943052412568762
kb_relative_information_score
0.6038243002077178
kb_relative_information_score
0.5872884557210538
kb_relative_information_score
0.5932089289190086
kb_relative_information_score
0.6105927936480962
kb_relative_information_score
0.5912443118737826
mean_absolute_error
0.19480546792849623
mean_absolute_error
0.19147213459516324
mean_absolute_error
0.19519978969505772
mean_absolute_error
0.19168769716088294
mean_absolute_error
0.19570452155625614
mean_absolute_error
0.19310725552050464
mean_absolute_error
0.19822292323869634
mean_absolute_error
0.1957623554153522
mean_absolute_error
0.1887697160883281
mean_absolute_error
0.19614090431125106
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
precision
0.8809256884104201 [0.882979,0.877133]
precision
0.8786660289006983 [0.890443,0.856911]
precision
0.8808115769882459 [0.873512,0.894265]
precision
0.8926813227537103 [0.899845,0.879479]
precision
0.8806810055759714 [0.876969,0.887522]
precision
0.8886707454798585 [0.884036,0.897213]
precision
0.8743586539631745 [0.874247,0.874564]
precision
0.8747754147578358 [0.880153,0.864865]
precision
0.884622621957145 [0.893716,0.867863]
precision
0.8787541789203273 [0.881369,0.873935]
predictive_accuracy
0.8811777076761304
predictive_accuracy
0.8796004206098843
predictive_accuracy
0.8796004206098843
predictive_accuracy
0.8932702418506835
predictive_accuracy
0.8801261829652997
predictive_accuracy
0.88801261829653
predictive_accuracy
0.8743427970557307
predictive_accuracy
0.8753943217665615
predictive_accuracy
0.8853838065194531
predictive_accuracy
0.879074658254469
prior_entropy
0.9351439892378896
prior_entropy
0.9351439892378896
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
relative_absolute_error
0.42734326461392824
relative_absolute_error
0.4200309567826316
relative_absolute_error
0.42806179710243086
relative_absolute_error
0.4203599822381961
relative_absolute_error
0.4291686447475896
relative_absolute_error
0.4234729912402075
relative_absolute_error
0.43469135331041764
relative_absolute_error
0.4292954710402649
relative_absolute_error
0.4139610192896191
relative_absolute_error
0.43012560677413403
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_squared_error
0.29973437241382467
root_mean_squared_error
0.29649530134961277
root_mean_squared_error
0.2988179481572426
root_mean_squared_error
0.2931346413869789
root_mean_squared_error
0.30226389052663705
root_mean_squared_error
0.29263685717755944
root_mean_squared_error
0.30425098942093426
root_mean_squared_error
0.30273377614972513
root_mean_squared_error
0.29180896333572554
root_mean_squared_error
0.30445034162445467
root_relative_squared_error
0.6279153056261415
root_relative_squared_error
0.6211297565386269
root_relative_squared_error
0.625781308605607
root_relative_squared_error
0.6138793891598874
root_relative_squared_error
0.6329977637703563
root_relative_squared_error
0.6128369348632338
root_relative_squared_error
0.6371591247397039
root_relative_squared_error
0.6339817931498644
root_relative_squared_error
0.6111031685519253
root_relative_squared_error
0.6375766059638464
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
unweighted_recall
0.8555571191490601 [0.941653,0.769461]
unweighted_recall
0.8588046758994168 [0.928687,0.788922]
unweighted_recall
0.8490193083332425 [0.952149,0.745889]
unweighted_recall
0.8735793336461073 [0.939984,0.807175]
unweighted_recall
0.8514760382457021 [0.948094,0.754858]
unweighted_recall
0.8609774548205369 [0.952149,0.769806]
unweighted_recall
0.8459897657468931 [0.941606,0.750374]
unweighted_recall
0.850219487269011 [0.935118,0.765321]
unweighted_recall
0.864761655374074 [0.934307,0.795217]
unweighted_recall
0.8533999614487978 [0.939984,0.766816]
usercpu_time_millis
6892.312125
usercpu_time_millis
6870.269104999998
usercpu_time_millis
6825.830069000002
usercpu_time_millis
6784.429948999996
usercpu_time_millis
6868.538472999994
usercpu_time_millis
7553.941010999999
usercpu_time_millis
6821.822020999995
usercpu_time_millis
6933.785427000004
usercpu_time_millis
6870.7364799999905
usercpu_time_millis
6921.081181000005
usercpu_time_millis_testing
57.646854999999775
usercpu_time_millis_testing
57.188488999997844
usercpu_time_millis_testing
59.904273000000785
usercpu_time_millis_testing
60.53959199999781
usercpu_time_millis_testing
65.98610699999341
usercpu_time_millis_testing
58.60792400000037
usercpu_time_millis_testing
57.28881299999955
usercpu_time_millis_testing
58.91874200000302
usercpu_time_millis_testing
63.3491739999954
usercpu_time_millis_testing
58.205587000003334
usercpu_time_millis_training
6834.66527
usercpu_time_millis_training
6813.080616
usercpu_time_millis_training
6765.925796000001
usercpu_time_millis_training
6723.890356999998
usercpu_time_millis_training
6802.552366000001
usercpu_time_millis_training
7495.333086999999
usercpu_time_millis_training
6764.533207999996
usercpu_time_millis_training
6874.866685000001
usercpu_time_millis_training
6807.387305999995
usercpu_time_millis_training
6862.875594000002
wall_clock_time_millis
6934.1325759887695
wall_clock_time_millis
6861.666440963745
wall_clock_time_millis
6810.722589492798
wall_clock_time_millis
6769.787549972534
wall_clock_time_millis
6855.565309524536
wall_clock_time_millis
7603.299140930176
wall_clock_time_millis
6798.439502716064
wall_clock_time_millis
7444.6117877960205
wall_clock_time_millis
6860.020875930786
wall_clock_time_millis
6895.217418670654
wall_clock_time_millis_testing
57.524681091308594
wall_clock_time_millis_testing
57.082414627075195
wall_clock_time_millis_testing
60.02092361450195
wall_clock_time_millis_testing
60.59527397155762
wall_clock_time_millis_testing
63.00091743469238
wall_clock_time_millis_testing
58.37821960449219
wall_clock_time_millis_testing
57.1596622467041
wall_clock_time_millis_testing
59.226274490356445
wall_clock_time_millis_testing
61.11502647399902
wall_clock_time_millis_testing
58.22038650512695
wall_clock_time_millis_training
6876.607894897461
wall_clock_time_millis_training
6804.58402633667
wall_clock_time_millis_training
6750.701665878296
wall_clock_time_millis_training
6709.192276000977
wall_clock_time_millis_training
6792.564392089844
wall_clock_time_millis_training
7544.920921325684
wall_clock_time_millis_training
6741.27984046936
wall_clock_time_millis_training
7385.385513305664
wall_clock_time_millis_training
6798.905849456787
wall_clock_time_millis_training
6836.997032165527
weighted_recall
0.8811777076761304 [0.941653,0.769461]
weighted_recall
0.8796004206098843 [0.928687,0.788922]
weighted_recall
0.8796004206098843 [0.952149,0.745889]
weighted_recall
0.8932702418506835 [0.939984,0.807175]
weighted_recall
0.8801261829652997 [0.948094,0.754858]
weighted_recall
0.88801261829653 [0.952149,0.769806]
weighted_recall
0.8743427970557308 [0.941606,0.750374]
weighted_recall
0.8753943217665615 [0.935118,0.765321]
weighted_recall
0.8853838065194533 [0.934307,0.795217]
weighted_recall
0.879074658254469 [0.939984,0.766816]