10437880
10792
George Volkov
145804
Supervised Classification
17481
sklearn.neighbors._classification.KNeighborsClassifier(2)
8260924
algorithm
"auto"
17481
leaf_size
30
17481
metric
"minkowski"
17481
metric_params
null
17481
n_jobs
null
17481
n_neighbors
10
17481
p
2
17481
weights
"uniform"
17481
openml-python
Sklearn_0.22.1.
50
tic-tac-toe
https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff
-1
21800163
description
https://api.openml.org/data/download/21800163/description.xml
-1
21800164
predictions
https://api.openml.org/data/download/21800164/predictions.arff
area_under_roc_curve
0.8818589052696408 [0.881859,0.881859]
average_cost
0
f_measure
0.8321517982688876 [0.729204,0.886751]
kappa
0.620822748462068
kb_relative_information_score
0.458475914868832
mean_absolute_error
0.2566805845511468
mean_prior_absolute_error
0.45300756784968915
weighted_recall
0.8402922755741128 [0.620482,0.956869]
number_of_instances
958 [332,626]
precision
0.8462770503518658 [0.88412,0.826207]
predictive_accuracy
0.8402922755741128
prior_entropy
0.9309543116818706
relative_absolute_error
0.5666143410573553
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.3579254771340387
root_relative_squared_error
0.752145419784099
total_cost
0
unweighted_recall
0.788675468647754 [0.620482,0.956869]
area_under_roc_curve
0.9112554112554112 [0.911255,0.911255]
area_under_roc_curve
0.8869648869648868 [0.886965,0.886965]
area_under_roc_curve
0.9100529100529101 [0.910053,0.910053]
area_under_roc_curve
0.8405483405483407 [0.840548,0.840548]
area_under_roc_curve
0.8771043771043772 [0.877104,0.877104]
area_under_roc_curve
0.9016354016354017 [0.901635,0.901635]
area_under_roc_curve
0.8847248576850095 [0.884725,0.884725]
area_under_roc_curve
0.8806925996204935 [0.880693,0.880693]
area_under_roc_curve
0.8299120234604106 [0.829912,0.829912]
area_under_roc_curve
0.9015151515151515 [0.901515,0.901515]
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
0.8465073529411765 [0.75,0.897059]
f_measure
0.8917588780236748 [0.827586,0.925373]
f_measure
0.8192307692307693 [0.692308,0.885714]
f_measure
0.7607165206508135 [0.588235,0.851064]
f_measure
0.8170718108831401 [0.711864,0.87218]
f_measure
0.838592774308653 [0.745763,0.887218]
f_measure
0.8228291316526611 [0.714286,0.882353]
f_measure
0.8405777039497968 [0.761905,0.883721]
f_measure
0.8327485380116959 [0.727273,0.888889]
f_measure
0.8449725058915946 [0.75,0.895522]
kappa
0.6516329704510108
kappa
0.7549770290964779
kappa
0.5890850722311398
kappa
0.4563106796116505
kappa
0.586626139817629
kappa
0.6352583586626139
kappa
0.6041237113402063
kappa
0.6467124631992149
kappa
0.6223164590511527
kappa
0.6501841136244082
kb_relative_information_score
0.4789385275038033
kb_relative_information_score
0.5271999189349282
kb_relative_information_score
0.4505555421076562
kb_relative_information_score
0.4103877684854554
kb_relative_information_score
0.43582069397486456
kb_relative_information_score
0.47022912161423386
kb_relative_information_score
0.42951437875296766
kb_relative_information_score
0.4663488648468285
kb_relative_information_score
0.4049727837076902
kb_relative_information_score
0.5110008204462241
mean_absolute_error
0.2479166666666666
mean_absolute_error
0.23229166666666665
mean_absolute_error
0.2614583333333333
mean_absolute_error
0.2687499999999999
mean_absolute_error
0.26666666666666666
mean_absolute_error
0.2479166666666666
mean_absolute_error
0.2718749999999999
mean_absolute_error
0.25416666666666665
mean_absolute_error
0.2821052631578946
mean_absolute_error
0.23368421052631574
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.4553385416666673
mean_prior_absolute_error
0.4553385416666673
mean_prior_absolute_error
0.45325657894736904
mean_prior_absolute_error
0.45325657894736904
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [34,62]
number_of_instances
96 [34,62]
number_of_instances
95 [33,62]
number_of_instances
95 [33,62]
precision
0.8622319833234068 [0.913043,0.835616]
precision
0.9030633802816901 [0.96,0.873239]
precision
0.854066985645933 [0.947368,0.805195]
precision
0.7912660256410257 [0.833333,0.769231]
precision
0.8213942307692307 [0.807692,0.828571]
precision
0.8439903846153847 [0.846154,0.842857]
precision
0.8456183456183456 [0.909091,0.810811]
precision
0.8425437467833247 [0.827586,0.850746]
precision
0.8521989906272531 [0.909091,0.821918]
precision
0.8610221205186881 [0.913043,0.833333]
predictive_accuracy
0.8541666666666667
predictive_accuracy
0.8958333333333333
predictive_accuracy
0.8333333333333333
predictive_accuracy
0.78125
predictive_accuracy
0.8229166666666667
predictive_accuracy
0.84375
predictive_accuracy
0.8333333333333333
predictive_accuracy
0.84375
predictive_accuracy
0.8421052631578948
predictive_accuracy
0.8526315789473684
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9379030360861306
prior_entropy
0.9379030360861306
prior_entropy
0.9316966235340134
prior_entropy
0.9316966235340134
relative_absolute_error
0.5483081353491711
relative_absolute_error
0.5137508999280049
relative_absolute_error
0.5782577393808486
relative_absolute_error
0.5943844492440593
relative_absolute_error
0.5897768178545708
relative_absolute_error
0.5483081353491711
relative_absolute_error
0.5970832141835849
relative_absolute_error
0.5581927366313975
relative_absolute_error
0.6223964003193253
relative_absolute_error
0.515567167428695
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.4783155938203006
root_mean_prior_squared_error
0.4783155938203006
root_mean_prior_squared_error
0.4761342715793188
root_mean_prior_squared_error
0.4761342715793188
root_mean_squared_error
0.3427827300200522
root_mean_squared_error
0.3292984968079873
root_mean_squared_error
0.3489567786035017
root_mean_squared_error
0.389978631893253
root_mean_squared_error
0.3605551275463989
root_mean_squared_error
0.35148494514938566
root_mean_squared_error
0.36897944838884095
root_mean_squared_error
0.3573630273731928
root_mean_squared_error
0.3866182667833043
root_mean_squared_error
0.33841736921953885
root_relative_squared_error
0.7216947093742669
root_relative_squared_error
0.6933050067525893
root_relative_squared_error
0.7346935503539
root_relative_squared_error
0.8210609542374301
root_relative_squared_error
0.7591127125126118
root_relative_squared_error
0.7400163518278098
root_relative_squared_error
0.7714142151248023
root_relative_squared_error
0.7471281137186827
root_relative_squared_error
0.8119941996632727
root_relative_squared_error
0.7107603661820471
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
0.8023088023088023 [0.636364,0.968254]
unweighted_recall
0.8556998556998556 [0.727273,0.984127]
unweighted_recall
0.7647907647907648 [0.545455,0.984127]
unweighted_recall
0.7034632034632035 [0.454545,0.952381]
unweighted_recall
0.7784992784992785 [0.636364,0.920635]
unweighted_recall
0.8015873015873016 [0.666667,0.936508]
unweighted_recall
0.7779886148007591 [0.588235,0.967742]
unweighted_recall
0.812618595825427 [0.705882,0.919355]
unweighted_recall
0.7869012707722385 [0.606061,0.967742]
unweighted_recall
0.8020527859237536 [0.636364,0.967742]
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
wall_clock_time_millis
7.001638412475586
wall_clock_time_millis
7.01141357421875
wall_clock_time_millis
7.001638412475586
wall_clock_time_millis
7.001399993896484
wall_clock_time_millis
7.001638412475586
wall_clock_time_millis
7.01141357421875
wall_clock_time_millis
6.001710891723633
wall_clock_time_millis
6.00123405456543
wall_clock_time_millis
6.00123405456543
wall_clock_time_millis
7.001399993896484
wall_clock_time_millis_testing
5.001306533813477
wall_clock_time_millis_testing
5.001068115234375
wall_clock_time_millis_testing
5.001306533813477
wall_clock_time_millis_testing
5.001306533813477
wall_clock_time_millis_testing
5.000591278076172
wall_clock_time_millis_testing
5.010843276977539
wall_clock_time_millis_testing
3.9911270141601562
wall_clock_time_millis_testing
5.001068115234375
wall_clock_time_millis_testing
4.00090217590332
wall_clock_time_millis_testing
5.000829696655273
wall_clock_time_millis_training
2.0003318786621094
wall_clock_time_millis_training
2.010345458984375
wall_clock_time_millis_training
2.0003318786621094
wall_clock_time_millis_training
2.000093460083008
wall_clock_time_millis_training
2.001047134399414
wall_clock_time_millis_training
2.000570297241211
wall_clock_time_millis_training
2.0105838775634766
wall_clock_time_millis_training
1.0001659393310547
wall_clock_time_millis_training
2.0003318786621094
wall_clock_time_millis_training
2.000570297241211
weighted_recall
0.8541666666666666 [0.636364,0.968254]
weighted_recall
0.8958333333333334 [0.727273,0.984127]
weighted_recall
0.8333333333333334 [0.545455,0.984127]
weighted_recall
0.78125 [0.454545,0.952381]
weighted_recall
0.8229166666666666 [0.636364,0.920635]
weighted_recall
0.84375 [0.666667,0.936508]
weighted_recall
0.8333333333333334 [0.588235,0.967742]
weighted_recall
0.84375 [0.705882,0.919355]
weighted_recall
0.8421052631578947 [0.606061,0.967742]
weighted_recall
0.8526315789473684 [0.636364,0.967742]