10437888
10792
George Volkov
145804
Supervised Classification
17481
sklearn.neighbors._classification.KNeighborsClassifier(2)
8260932
algorithm
"auto"
17481
leaf_size
30
17481
metric
"minkowski"
17481
metric_params
null
17481
n_jobs
null
17481
n_neighbors
144
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
21800179
description
https://api.openml.org/data/download/21800179/description.xml
-1
21800180
predictions
https://api.openml.org/data/download/21800180/predictions.arff
area_under_roc_curve
0.7381923861580508 [0.738192,0.738192]
average_cost
0
f_measure
0.6342669452308438 [0.290076,0.816809]
kappa
0.2044941813744457
kb_relative_information_score
0.06450660049116824
mean_absolute_error
0.4298379146369756
mean_prior_absolute_error
0.45300756784968915
weighted_recall
0.708768267223382 [0.171687,0.99361]
number_of_instances
958 [332,626]
precision
0.7769436382146694 [0.934426,0.693423]
predictive_accuracy
0.708768267223382
prior_entropy
0.9309543116818706
relative_absolute_error
0.9488537171184713
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.4505258352548079
root_relative_squared_error
0.9467360250368823
total_cost
0
unweighted_recall
0.5826484853150622 [0.171687,0.99361]
area_under_roc_curve
0.7097162097162096 [0.709716,0.709716]
area_under_roc_curve
0.7104377104377105 [0.710438,0.710438]
area_under_roc_curve
0.7869167869167869 [0.786917,0.786917]
area_under_roc_curve
0.7085137085137085 [0.708514,0.708514]
area_under_roc_curve
0.7436267436267436 [0.743627,0.743627]
area_under_roc_curve
0.7604617604617605 [0.760462,0.760462]
area_under_roc_curve
0.7381404174573055 [0.73814,0.73814]
area_under_roc_curve
0.7796489563567363 [0.779649,0.779649]
area_under_roc_curve
0.6747311827956989 [0.674731,0.674731]
area_under_roc_curve
0.7504887585532747 [0.750489,0.750489]
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
0.646210407239819 [0.307692,0.823529]
f_measure
0.646210407239819 [0.307692,0.823529]
f_measure
0.6273923444976076 [0.263158,0.818182]
f_measure
0.6126644736842105 [0.25,0.802632]
f_measure
0.6077920662598082 [0.216216,0.812903]
f_measure
0.6643092105263156 [0.35,0.828947]
f_measure
0.5876277861571979 [0.205128,0.797386]
f_measure
0.6688095238095237 [0.380952,0.826667]
f_measure
0.6786880443866254 [0.390244,0.832215]
f_measure
0.5969529085872576 [0.210526,0.802632]
kappa
0.22580645161290322
kappa
0.22580645161290322
kappa
0.189873417721519
kappa
0.14742451154529315
kappa
0.1532846715328467
kappa
0.261101243339254
kappa
0.12573443008225615
kappa
0.28440366972477055
kappa
0.29462429462429446
kappa
0.13109756097560968
kb_relative_information_score
0.05360902475931046
kb_relative_information_score
0.04139838347621128
kb_relative_information_score
0.07586782874937245
kb_relative_information_score
0.0612777929249061
kb_relative_information_score
0.06644347756886827
kb_relative_information_score
0.06572218034813757
kb_relative_information_score
0.07003492134323007
kb_relative_information_score
0.09012892122682882
kb_relative_information_score
0.04981036147733334
kb_relative_information_score
0.07039328060272633
mean_absolute_error
0.43287037037037046
mean_absolute_error
0.43612557870370355
mean_absolute_error
0.42447916666666674
mean_absolute_error
0.43113425925925913
mean_absolute_error
0.4280960648148147
mean_absolute_error
0.42867476851851877
mean_absolute_error
0.42918113425925924
mean_absolute_error
0.42353877314814836
mean_absolute_error
0.4362573099415204
mean_absolute_error
0.42807017543859655
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
0.803125 [1,0.7]
precision
0.803125 [1,0.7]
precision
0.798076923076923 [1,0.692308]
precision
0.6953250401284109 [0.714286,0.685393]
precision
0.7931385869565218 [1,0.684783]
precision
0.8082865168539325 [1,0.707865]
precision
0.7162545787545787 [0.8,0.67033]
precision
0.8091856060606061 [1,0.704545]
precision
0.8124621899576527 [1,0.712644]
precision
0.7202339181286551 [0.8,0.677778]
predictive_accuracy
0.71875
predictive_accuracy
0.71875
predictive_accuracy
0.7083333333333333
predictive_accuracy
0.6875
predictive_accuracy
0.6979166666666667
predictive_accuracy
0.7291666666666667
predictive_accuracy
0.6770833333333333
predictive_accuracy
0.7291666666666667
predictive_accuracy
0.736842105263158
predictive_accuracy
0.6842105263157895
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
0.9573634109271246
relative_absolute_error
0.9645628349732003
relative_absolute_error
0.93880489560835
relative_absolute_error
0.9535237181025502
relative_absolute_error
0.9468042556595456
relative_absolute_error
0.9480841532677377
relative_absolute_error
0.9425539351189894
relative_absolute_error
0.9301623613891263
relative_absolute_error
0.9624952625170334
relative_absolute_error
0.9444323487432555
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
0.4543174231610035
root_mean_squared_error
0.4554422046268893
root_mean_squared_error
0.4441968440082075
root_mean_squared_error
0.4524848696115332
root_mean_squared_error
0.44862714611292076
root_mean_squared_error
0.44761375416386234
root_mean_squared_error
0.4520533526427443
root_mean_squared_error
0.44426412809914023
root_mean_squared_error
0.4563509316737573
root_mean_squared_error
0.4497716191821161
root_relative_squared_error
0.9565198359108287
root_relative_squared_error
0.9588879506436934
root_relative_squared_error
0.935211970050874
root_relative_squared_error
0.9526615779372711
root_relative_squared_error
0.9445395274506129
root_relative_squared_error
0.9424059321900957
root_relative_squared_error
0.9450943236706959
root_relative_squared_error
0.9288096266124387
root_relative_squared_error
0.9584500820746615
root_relative_squared_error
0.9446318948859556
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
0.5909090909090909 [0.181818,1]
unweighted_recall
0.5909090909090909 [0.181818,1]
unweighted_recall
0.5757575757575758 [0.151515,1]
unweighted_recall
0.5598845598845599 [0.151515,0.968254]
unweighted_recall
0.5606060606060606 [0.121212,1]
unweighted_recall
0.6060606060606061 [0.212121,1]
unweighted_recall
0.5507590132827325 [0.117647,0.983871]
unweighted_recall
0.6176470588235294 [0.235294,1]
unweighted_recall
0.6212121212121212 [0.242424,1]
unweighted_recall
0.5525415444770283 [0.121212,0.983871]
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
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
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
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
usercpu_time_millis_training
0
usercpu_time_millis_training
0
wall_clock_time_millis
9.001731872558594
wall_clock_time_millis
9.001731872558594
wall_clock_time_millis
9.001970291137695
wall_clock_time_millis
9.002208709716797
wall_clock_time_millis
8.001565933227539
wall_clock_time_millis
9.001970291137695
wall_clock_time_millis
9.002208709716797
wall_clock_time_millis
9.001731872558594
wall_clock_time_millis
9.001970291137695
wall_clock_time_millis
9.001970291137695
wall_clock_time_millis_testing
7.001399993896484
wall_clock_time_millis_testing
7.001399993896484
wall_clock_time_millis_testing
8.00180435180664
wall_clock_time_millis_testing
7.001638412475586
wall_clock_time_millis_testing
7.001638412475586
wall_clock_time_millis_testing
7.001638412475586
wall_clock_time_millis_testing
7.001638412475586
wall_clock_time_millis_testing
7.001638412475586
wall_clock_time_millis_testing
7.001399993896484
wall_clock_time_millis_testing
7.001399993896484
wall_clock_time_millis_training
2.0003318786621094
wall_clock_time_millis_training
2.0003318786621094
wall_clock_time_millis_training
1.0001659393310547
wall_clock_time_millis_training
2.000570297241211
wall_clock_time_millis_training
0.9999275207519531
wall_clock_time_millis_training
2.0003318786621094
wall_clock_time_millis_training
2.000570297241211
wall_clock_time_millis_training
2.000093460083008
wall_clock_time_millis_training
2.000570297241211
wall_clock_time_millis_training
2.000570297241211
weighted_recall
0.71875 [0.181818,1]
weighted_recall
0.71875 [0.181818,1]
weighted_recall
0.7083333333333334 [0.151515,1]
weighted_recall
0.6875 [0.151515,0.968254]
weighted_recall
0.6979166666666666 [0.121212,1]
weighted_recall
0.7291666666666666 [0.212121,1]
weighted_recall
0.6770833333333334 [0.117647,0.983871]
weighted_recall
0.7291666666666666 [0.235294,1]
weighted_recall
0.7368421052631579 [0.242424,1]
weighted_recall
0.6842105263157895 [0.121212,0.983871]