1064
3229
Test Test
115
Supervised Classification
44
sklearn.ensemble._forest.RandomForestClassifier(1)
869
Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1.
bootstrap
true
44
ccp_alpha
0.0
44
class_weight
null
44
criterion
"gini"
44
max_depth
null
44
max_features
"sqrt"
44
max_leaf_nodes
null
44
max_samples
null
44
min_impurity_decrease
0.0
44
min_samples_leaf
1
44
min_samples_split
2
44
min_weight_fraction_leaf
0.0
44
n_estimators
100
44
n_jobs
null
44
oob_score
false
44
random_state
12428
44
verbose
0
44
warm_start
false
44
openml-python
Sklearn_1.3.2.
20
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
3073
description
https://test.openml.org/data/download/3073/description.xml
-1
3074
predictions
https://test.openml.org/data/download/3074/predictions.arff
area_under_roc_curve
0.8290970149253732 [0.829097,0.829097]
average_cost
0
f_measure
0.763912323037323 [0.828185,0.644]
kappa
0.47350258811929996
kb_relative_information_score
0.31630880734562944
mean_absolute_error
0.3164453124999999
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7682291666666666 [0.858,0.600746]
number_of_instances
768 [500,268]
precision
0.7632413096157146 [0.800373,0.693966]
predictive_accuracy
0.7682291666666667
prior_entropy
0.9331348051619819
relative_absolute_error
0.6962625759018957
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.3975666545268437
root_relative_squared_error
0.8341009676234274
total_cost
0
unweighted_recall
0.7293731343283583 [0.858,0.600746]
area_under_roc_curve
0.9122222222222222 [0.912222,0.912222]
area_under_roc_curve
0.7514814814814816 [0.751481,0.751481]
area_under_roc_curve
0.8662962962962965 [0.866296,0.866296]
area_under_roc_curve
0.827037037037037 [0.827037,0.827037]
area_under_roc_curve
0.8188888888888889 [0.818889,0.818889]
area_under_roc_curve
0.8277777777777776 [0.827778,0.827778]
area_under_roc_curve
0.8333333333333334 [0.833333,0.833333]
area_under_roc_curve
0.8677777777777779 [0.867778,0.867778]
area_under_roc_curve
0.8307692307692308 [0.830769,0.830769]
area_under_roc_curve
0.7646153846153845 [0.764615,0.764615]
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
0.8426867250396664 [0.882353,0.769231]
f_measure
0.6454817324382541 [0.759259,0.434783]
f_measure
0.7922077922077921 [0.84,0.703704]
f_measure
0.7582394021073267 [0.830189,0.625]
f_measure
0.7521404431548276 [0.811881,0.641509]
f_measure
0.8164678458796105 [0.862745,0.730769]
f_measure
0.7582394021073267 [0.830189,0.625]
f_measure
0.8265747857584592 [0.87619,0.734694]
f_measure
0.7387331256490135 [0.82243,0.577778]
f_measure
0.6986949936304455 [0.767677,0.566038]
kappa
0.6518462697814618
kappa
0.20429252782193966
kappa
0.5437037037037038
kappa
0.459016393442623
kappa
0.4534927157265597
kappa
0.5938206480783723
kappa
0.459016393442623
kappa
0.6127659574468087
kappa
0.40624999999999994
kappa
0.333841463414634
kb_relative_information_score
0.43838791742046945
kb_relative_information_score
0.2116168596634245
kb_relative_information_score
0.3538653996393575
kb_relative_information_score
0.28854016861973725
kb_relative_information_score
0.2556612131586179
kb_relative_information_score
0.29193937336067516
kb_relative_information_score
0.32650249638870654
kb_relative_information_score
0.40550245748154745
kb_relative_information_score
0.3248976194912248
kb_relative_information_score
0.2652798337767348
mean_absolute_error
0.2692207792207793
mean_absolute_error
0.3551948051948053
mean_absolute_error
0.30376623376623385
mean_absolute_error
0.3300000000000001
mean_absolute_error
0.3376623376623377
mean_absolute_error
0.33259740259740256
mean_absolute_error
0.3111688311688313
mean_absolute_error
0.28480519480519473
mean_absolute_error
0.31078947368421067
mean_absolute_error
0.32934210526315794
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.45242652084757423
mean_prior_absolute_error
0.45242652084757423
weighted_recall
0.8441558441558441 [0.9,0.740741]
weighted_recall
0.6623376623376623 [0.82,0.37037]
weighted_recall
0.7922077922077922 [0.84,0.703704]
weighted_recall
0.7662337662337663 [0.88,0.555556]
weighted_recall
0.7532467532467533 [0.82,0.62963]
weighted_recall
0.8181818181818182 [0.88,0.703704]
weighted_recall
0.7662337662337663 [0.88,0.555556]
weighted_recall
0.8311688311688312 [0.92,0.666667]
weighted_recall
0.75 [0.88,0.5]
weighted_recall
0.6973684210526315 [0.76,0.576923]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.8424575424575425 [0.865385,0.8]
precision
0.6435760247012515 [0.706897,0.526316]
precision
0.7922077922077922 [0.84,0.703704]
precision
0.7606679035250463 [0.785714,0.714286]
precision
0.7512977218859571 [0.803922,0.653846]
precision
0.8159440559440558 [0.846154,0.76]
precision
0.7606679035250463 [0.785714,0.714286]
precision
0.8299881936245572 [0.836364,0.818182]
precision
0.7419205909510618 [0.77193,0.684211]
precision
0.7002625611648168 [0.77551,0.555556]
predictive_accuracy
0.8441558441558442
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.75
predictive_accuracy
0.6973684210526316
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9269862002370954
prior_entropy
0.9269862002370954
relative_absolute_error
0.591692923601586
relative_absolute_error
0.7806464766282382
relative_absolute_error
0.6676168588056486
relative_absolute_error
0.7252733810282826
relative_absolute_error
0.7421136523705372
relative_absolute_error
0.7309819475849787
relative_absolute_error
0.6838862734922335
relative_absolute_error
0.6259443229417642
relative_absolute_error
0.6869391146698888
relative_absolute_error
0.7279460643601742
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4744699650121647
root_mean_prior_squared_error
0.4744699650121647
root_mean_squared_error
0.3434035148713158
root_mean_squared_error
0.443280275443655
root_mean_squared_error
0.3808790243224628
root_mean_squared_error
0.4035926324736528
root_mean_squared_error
0.4082875228300533
root_mean_squared_error
0.3963125488344223
root_mean_squared_error
0.3992915804694187
root_mean_squared_error
0.36887156811854416
root_mean_squared_error
0.39351987845195585
root_mean_squared_error
0.4294105507001797
root_relative_squared_error
0.719659343745507
root_relative_squared_error
0.9289677545689996
root_relative_squared_error
0.7981955245654596
root_relative_squared_error
0.8457956789852633
root_relative_squared_error
0.8556346048160325
root_relative_squared_error
0.8305390494304252
root_relative_squared_error
0.8367821071121208
root_relative_squared_error
0.7730318972944832
root_relative_squared_error
0.8293883859263179
root_relative_squared_error
0.9050321039587199
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
153.53279999999714
usercpu_time_millis
151.64109999999908
usercpu_time_millis
154.8298999999993
usercpu_time_millis
152.26000000000184
usercpu_time_millis
152.1006999999983
usercpu_time_millis
154.31569999999795
usercpu_time_millis
153.14919999999788
usercpu_time_millis
155.1866000000004
usercpu_time_millis
152.54219999999918
usercpu_time_millis
151.880000000002
usercpu_time_millis_testing
6.735700000000122
usercpu_time_millis_testing
6.7416999999991845
usercpu_time_millis_testing
7.097900000001545
usercpu_time_millis_testing
6.634600000001711
usercpu_time_millis_testing
6.752499999997497
usercpu_time_millis_testing
6.797199999997616
usercpu_time_millis_testing
6.604599999999294
usercpu_time_millis_testing
6.955500000000114
usercpu_time_millis_testing
6.721599999998773
usercpu_time_millis_testing
6.577400000001177
usercpu_time_millis_training
146.79709999999702
usercpu_time_millis_training
144.8993999999999
usercpu_time_millis_training
147.73199999999775
usercpu_time_millis_training
145.62540000000013
usercpu_time_millis_training
145.34820000000082
usercpu_time_millis_training
147.51850000000033
usercpu_time_millis_training
146.54459999999858
usercpu_time_millis_training
148.23110000000028
usercpu_time_millis_training
145.8206000000004
usercpu_time_millis_training
145.30260000000084
wall_clock_time_millis
153.5360813140869
wall_clock_time_millis
151.65448188781738
wall_clock_time_millis
154.83736991882324
wall_clock_time_millis
152.2960662841797
wall_clock_time_millis
152.1129608154297
wall_clock_time_millis
154.31976318359375
wall_clock_time_millis
153.1522274017334
wall_clock_time_millis
155.20596504211426
wall_clock_time_millis
152.54592895507812
wall_clock_time_millis
151.92461013793945
wall_clock_time_millis_training
146.79765701293945
wall_clock_time_millis_training
144.91033554077148
wall_clock_time_millis_training
147.7358341217041
wall_clock_time_millis_training
145.6584930419922
wall_clock_time_millis_training
145.35760879516602
wall_clock_time_millis_training
147.5198268890381
wall_clock_time_millis_training
146.5451717376709
wall_clock_time_millis_training
148.24604988098145
wall_clock_time_millis_training
145.82133293151855
wall_clock_time_millis_training
145.34497261047363
wall_clock_time_millis_testing
6.738424301147461
wall_clock_time_millis_testing
6.744146347045898
wall_clock_time_millis_testing
7.101535797119141
wall_clock_time_millis_testing
6.6375732421875
wall_clock_time_millis_testing
6.755352020263672
wall_clock_time_millis_testing
6.799936294555664
wall_clock_time_millis_testing
6.6070556640625
wall_clock_time_millis_testing
6.9599151611328125
wall_clock_time_millis_testing
6.72459602355957
wall_clock_time_millis_testing
6.57963752746582
unweighted_recall
0.8203703703703704 [0.9,0.740741]
unweighted_recall
0.5951851851851852 [0.82,0.37037]
unweighted_recall
0.7718518518518518 [0.84,0.703704]
unweighted_recall
0.7177777777777778 [0.88,0.555556]
unweighted_recall
0.7248148148148148 [0.82,0.62963]
unweighted_recall
0.7918518518518518 [0.88,0.703704]
unweighted_recall
0.7177777777777778 [0.88,0.555556]
unweighted_recall
0.7933333333333333 [0.92,0.666667]
unweighted_recall
0.69 [0.88,0.5]
unweighted_recall
0.6684615384615384 [0.76,0.576923]