1268
3229
Test Test
115
Supervised Classification
13957
sklearn.neighbors._classification.KNeighborsClassifier(1)
77
Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1.
algorithm
"auto"
13957
leaf_size
30
13957
metric
"minkowski"
13957
metric_params
null
13957
n_jobs
null
13957
n_neighbors
5
13957
p
2
13957
weights
"uniform"
13957
openml-python
Sklearn_1.3.2.
20
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
3552
description
https://test.openml.org/data/download/3552/description.xml
-1
3553
predictions
https://test.openml.org/data/download/3553/predictions.arff
area_under_roc_curve
0.742018656716418 [0.742019,0.742019]
average_cost
0
f_measure
0.7188169240669241 [0.795367,0.576]
kappa
0.37293566674882933
kb_relative_information_score
0.2569468510398848
mean_absolute_error
0.332552083333333
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7239583333333334 [0.824,0.537313]
number_of_instances
768 [500,268]
precision
0.7170223773374507 [0.768657,0.62069]
predictive_accuracy
0.7239583333333333
prior_entropy
0.9331348051619819
relative_absolute_error
0.7317016906774638
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4450538356948139
root_relative_squared_error
0.9337298054822085
total_cost
0
unweighted_recall
0.6806567164179105 [0.824,0.537313]
area_under_roc_curve
0.8244444444444444 [0.824444,0.824444]
area_under_roc_curve
0.6877777777777778 [0.687778,0.687778]
area_under_roc_curve
0.7974074074074075 [0.797407,0.797407]
area_under_roc_curve
0.6951851851851852 [0.695185,0.695185]
area_under_roc_curve
0.7011111111111111 [0.701111,0.701111]
area_under_roc_curve
0.7903703703703704 [0.79037,0.79037]
area_under_roc_curve
0.7414814814814814 [0.741481,0.741481]
area_under_roc_curve
0.7374074074074073 [0.737407,0.737407]
area_under_roc_curve
0.7188461538461538 [0.718846,0.718846]
area_under_roc_curve
0.7238461538461539 [0.723846,0.723846]
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
0.7640300875594993 [0.823529,0.653846]
f_measure
0.7083516483516483 [0.788462,0.56]
f_measure
0.7640300875594993 [0.823529,0.653846]
f_measure
0.6727523684045422 [0.777778,0.478261]
f_measure
0.6274636920323302 [0.701031,0.491228]
f_measure
0.7422475483699973 [0.795918,0.642857]
f_measure
0.7198515769944341 [0.8,0.571429]
f_measure
0.7387584892172047 [0.825688,0.577778]
f_measure
0.7061749744534154 [0.807339,0.511628]
f_measure
0.7341589267285862 [0.803922,0.6]
kappa
0.4777694046721929
kappa
0.3504601226993866
kappa
0.4777694046721929
kappa
0.2655007949125597
kappa
0.193571686529433
kappa
0.43918426802622007
kappa
0.3744680851063831
kappa
0.4131568391496189
kappa
0.33053691275167785
kappa
0.4043887147335422
kb_relative_information_score
0.34843389451824813
kb_relative_information_score
0.20183470477036425
kb_relative_information_score
0.31197289711076637
kb_relative_information_score
0.2132085287570053
kb_relative_information_score
0.16144286884912223
kb_relative_information_score
0.2683800329953925
kb_relative_information_score
0.29515239518574116
kb_relative_information_score
0.2741248848871308
kb_relative_information_score
0.26259867487234967
kb_relative_information_score
0.23191096872005307
mean_absolute_error
0.2987012987012986
mean_absolute_error
0.3558441558441558
mean_absolute_error
0.3116883116883115
mean_absolute_error
0.3506493506493505
mean_absolute_error
0.3688311688311688
mean_absolute_error
0.32987012987012965
mean_absolute_error
0.31168831168831157
mean_absolute_error
0.32727272727272705
mean_absolute_error
0.32631578947368406
mean_absolute_error
0.34473684210526295
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
0.7662337662337663 [0.84,0.62963]
weighted_recall
0.7142857142857143 [0.82,0.518519]
weighted_recall
0.7662337662337663 [0.84,0.62963]
weighted_recall
0.6883116883116883 [0.84,0.407407]
weighted_recall
0.6233766233766234 [0.68,0.518519]
weighted_recall
0.7402597402597403 [0.78,0.666667]
weighted_recall
0.7272727272727273 [0.84,0.518519]
weighted_recall
0.7532467532467533 [0.9,0.481481]
weighted_recall
0.7236842105263158 [0.88,0.423077]
weighted_recall
0.7368421052631579 [0.82,0.576923]
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
0.7629170829170829 [0.807692,0.68]
precision
0.7064642282033586 [0.759259,0.608696]
precision
0.7629170829170829 [0.807692,0.68]
precision
0.6732269545336695 [0.724138,0.578947]
precision
0.633379386570876 [0.723404,0.466667]
precision
0.7452418271383789 [0.8125,0.62069]
precision
0.71900826446281 [0.763636,0.636364]
precision
0.74851419766674 [0.762712,0.722222]
precision
0.7119955921708558 [0.745763,0.647059]
precision
0.7325404858299595 [0.788462,0.625]
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7236842105263157
predictive_accuracy
0.736842105263158
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
0.6564851540200901
relative_absolute_error
0.782073618267412
relative_absolute_error
0.6850279868035721
relative_absolute_error
0.7706564851540187
relative_absolute_error
0.810616451050894
relative_absolute_error
0.7249879527004471
relative_absolute_error
0.6850279868035724
relative_absolute_error
0.7192793861437506
relative_absolute_error
0.72125698746034
relative_absolute_error
0.7619731077201977
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
0.4121530418062322
root_mean_squared_error
0.4709757762541315
root_mean_squared_error
0.41902794129319765
root_mean_squared_error
0.47536725378808514
root_mean_squared_error
0.4547012719943133
root_mean_squared_error
0.41716420511109764
root_mean_squared_error
0.4524105709146556
root_mean_squared_error
0.4372285800000168
root_mean_squared_error
0.45189658807717215
root_mean_squared_error
0.45479897236378825
root_relative_squared_error
0.8637354445837185
root_relative_squared_error
0.9870082960161062
root_relative_squared_error
0.8781429431643895
root_relative_squared_error
0.9962113696693927
root_relative_squared_error
0.9529023578174447
root_relative_squared_error
0.8742371731310586
root_relative_squared_error
0.9481018116252445
root_relative_squared_error
0.9162854173682625
root_relative_squared_error
0.9524240128995018
root_relative_squared_error
0.9585411214640908
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
5.106200000000172
usercpu_time_millis
4.820300000005773
usercpu_time_millis
4.906700000006481
usercpu_time_millis
4.97420000000659
usercpu_time_millis
4.938800000005017
usercpu_time_millis
4.834899999991649
usercpu_time_millis
4.795799999996575
usercpu_time_millis
4.805500000003349
usercpu_time_millis
6.660999999994033
usercpu_time_millis
4.8773999999838225
usercpu_time_millis_testing
2.940899999998692
usercpu_time_millis_testing
2.8757000000041444
usercpu_time_millis_testing
2.9318000000131406
usercpu_time_millis_testing
2.953300000001491
usercpu_time_millis_testing
2.994499999999789
usercpu_time_millis_testing
2.8565999999869973
usercpu_time_millis_testing
2.881899999991333
usercpu_time_millis_testing
2.857300000002283
usercpu_time_millis_testing
3.9751999999992904
usercpu_time_millis_testing
2.907499999992069
usercpu_time_millis_training
2.16530000000148
usercpu_time_millis_training
1.9446000000016284
usercpu_time_millis_training
1.9748999999933403
usercpu_time_millis_training
2.020900000005099
usercpu_time_millis_training
1.944300000005228
usercpu_time_millis_training
1.9783000000046513
usercpu_time_millis_training
1.913900000005242
usercpu_time_millis_training
1.9482000000010657
usercpu_time_millis_training
2.6857999999947424
usercpu_time_millis_training
1.9698999999917532
wall_clock_time_millis
5.107641220092773
wall_clock_time_millis
4.822969436645508
wall_clock_time_millis
4.91023063659668
wall_clock_time_millis
4.976987838745117
wall_clock_time_millis
4.9419403076171875
wall_clock_time_millis
4.837751388549805
wall_clock_time_millis
4.798173904418945
wall_clock_time_millis
4.807949066162109
wall_clock_time_millis
6.664037704467773
wall_clock_time_millis
4.880189895629883
wall_clock_time_millis_training
2.1638870239257812
wall_clock_time_millis_training
1.9450187683105469
wall_clock_time_millis_training
1.9755363464355469
wall_clock_time_millis_training
2.021312713623047
wall_clock_time_millis_training
1.9450187683105469
wall_clock_time_millis_training
1.9786357879638672
wall_clock_time_millis_training
1.9140243530273438
wall_clock_time_millis_training
1.9483566284179688
wall_clock_time_millis_training
2.6865005493164062
wall_clock_time_millis_training
1.970529556274414
wall_clock_time_millis_testing
2.943754196166992
wall_clock_time_millis_testing
2.877950668334961
wall_clock_time_millis_testing
2.934694290161133
wall_clock_time_millis_testing
2.9556751251220703
wall_clock_time_millis_testing
2.9969215393066406
wall_clock_time_millis_testing
2.8591156005859375
wall_clock_time_millis_testing
2.8841495513916016
wall_clock_time_millis_testing
2.8595924377441406
wall_clock_time_millis_testing
3.977537155151367
wall_clock_time_millis_testing
2.9096603393554688
unweighted_recall
0.7348148148148148 [0.84,0.62963]
unweighted_recall
0.6692592592592592 [0.82,0.518519]
unweighted_recall
0.7348148148148148 [0.84,0.62963]
unweighted_recall
0.6237037037037036 [0.84,0.407407]
unweighted_recall
0.5992592592592593 [0.68,0.518519]
unweighted_recall
0.7233333333333334 [0.78,0.666667]
unweighted_recall
0.6792592592592592 [0.84,0.518519]
unweighted_recall
0.6907407407407408 [0.9,0.481481]
unweighted_recall
0.6515384615384615 [0.88,0.423077]
unweighted_recall
0.6984615384615385 [0.82,0.576923]