81
3229
Test Test
403
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.
68
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
709
description
https://test.openml.org/data/download/709/description.xml
-1
710
predictions
https://test.openml.org/data/download/710/predictions.arff
area_under_roc_curve
0.9946795106360338 [0.99468,0.99468]
average_cost
0
f_measure
0.9690165795877647 [0.971971,0.965389]
kappa
0.9373596042950169
kb_relative_information_score
0.891405711607461
mean_absolute_error
0.057890520694259956
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.9690253671562082 [0.974325,0.962517]
number_of_instances
14980 [8257,6723]
precision
0.9690217627325892 [0.969628,0.968278]
predictive_accuracy
0.9690253671562082
prior_entropy
0.9924223735239917
relative_absolute_error
0.11700787083036468
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.15896863853409599
root_relative_squared_error
0.3196175147142705
total_cost
0
unweighted_recall
0.9684207744546471 [0.974325,0.962517]
area_under_roc_curve
0.9939962743572005 [0.993996,0.993996]
area_under_roc_curve
0.9948267972443214 [0.994827,0.994827]
area_under_roc_curve
0.995836576155886 [0.995837,0.995837]
area_under_roc_curve
0.9941304911795227 [0.99413,0.99413]
area_under_roc_curve
0.993057657384988 [0.993058,0.993058]
area_under_roc_curve
0.9972724259195204 [0.997272,0.997272]
area_under_roc_curve
0.9962644485760406 [0.996264,0.996264]
area_under_roc_curve
0.994758881534513 [0.994759,0.994759]
area_under_roc_curve
0.9937691926696385 [0.993769,0.993769]
area_under_roc_curve
0.9934125804853888 [0.993413,0.993413]
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
0.9659373077992695 [0.969259,0.961855]
f_measure
0.9666437815485527 [0.969549,0.963072]
f_measure
0.9685889323685863 [0.971806,0.964635]
f_measure
0.9712715577526514 [0.974143,0.967742]
f_measure
0.9726033609249799 [0.975375,0.969196]
f_measure
0.9713119113173859 [0.973828,0.968219]
f_measure
0.9645960857907119 [0.968092,0.9603]
f_measure
0.9666310552287318 [0.969623,0.962963]
f_measure
0.9712970114757821 [0.973924,0.968077]
f_measure
0.9712763080956482 [0.974081,0.967838]
kappa
0.9311150102879361
kappa
0.9326247386847343
kappa
0.93644715724558
kappa
0.9418882222923902
kappa
0.9445756951726403
kappa
0.9420492474337174
kappa
0.9283937522885969
kappa
0.9325867776479717
kappa
0.9420008247779132
kappa
0.941921336745164
kb_relative_information_score
0.8907841723613851
kb_relative_information_score
0.8883563509282938
kb_relative_information_score
0.893010242756381
kb_relative_information_score
0.8870983569565491
kb_relative_information_score
0.8936843178052202
kb_relative_information_score
0.8994921672692813
kb_relative_information_score
0.8889731539636608
kb_relative_information_score
0.8830569860356696
kb_relative_information_score
0.893780881307646
kb_relative_information_score
0.8958207975049123
mean_absolute_error
0.057943925233645006
mean_absolute_error
0.059145527369826575
mean_absolute_error
0.05674232309746337
mean_absolute_error
0.060480640854472814
mean_absolute_error
0.0571428571428573
mean_absolute_error
0.05380507343124182
mean_absolute_error
0.05887850467289737
mean_absolute_error
0.06234979973297749
mean_absolute_error
0.05687583444592804
mean_absolute_error
0.05554072096128181
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
weighted_recall
0.9659546061415221 [0.973366,0.956845]
weighted_recall
0.9666221628838452 [0.96368,0.970238]
weighted_recall
0.9686248331108144 [0.98063,0.953869]
weighted_recall
0.9712950600801068 [0.98063,0.959821]
weighted_recall
0.972630173564753 [0.983051,0.959821]
weighted_recall
0.9712950600801068 [0.968523,0.974702]
weighted_recall
0.9646194926568759 [0.973366,0.953869]
weighted_recall
0.9666221628838452 [0.967273,0.965825]
weighted_recall
0.9712950600801068 [0.973333,0.968796]
weighted_recall
0.9712950600801068 [0.979394,0.961367]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
precision
0.9659626959490142 [0.965186,0.966917]
precision
0.9667521926960825 [0.97549,0.956012]
precision
0.9687500777002136 [0.963139,0.975647]
precision
0.9713541892337506 [0.967742,0.975794]
precision
0.972725086221939 [0.967819,0.978756]
precision
0.9713994271248103 [0.979192,0.961821]
precision
0.9646431837133447 [0.962874,0.966817]
precision
0.9666538510421588 [0.971985,0.960118]
precision
0.9712998367908288 [0.974515,0.967359]
precision
0.9713285406227112 [0.968825,0.974398]
predictive_accuracy
0.9659546061415221
predictive_accuracy
0.9666221628838452
predictive_accuracy
0.9686248331108145
predictive_accuracy
0.9712950600801068
predictive_accuracy
0.972630173564753
predictive_accuracy
0.9712950600801068
predictive_accuracy
0.9646194926568757
predictive_accuracy
0.9666221628838452
predictive_accuracy
0.9712950600801068
predictive_accuracy
0.9712950600801068
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
relative_absolute_error
0.117120665742029
relative_absolute_error
0.11954943530810792
relative_absolute_error
0.11469189617594994
relative_absolute_error
0.12224806815930683
relative_absolute_error
0.11550148603130975
relative_absolute_error
0.1087549039033127
relative_absolute_error
0.11900970873786823
relative_absolute_error
0.12600874530186754
relative_absolute_error
0.11494587901198187
relative_absolute_error
0.11224761894127802
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_squared_error
0.1617659553152805
root_mean_squared_error
0.16283535796955567
root_mean_squared_error
0.1571610621813003
root_mean_squared_error
0.16201336706625197
root_mean_squared_error
0.15724599115922622
root_mean_squared_error
0.14931977495828
root_mean_squared_error
0.1590190221300547
root_mean_squared_error
0.16348997511351182
root_mean_squared_error
0.15758524935544932
root_mean_squared_error
0.1587669442614554
root_relative_squared_error
0.32525519535907965
root_relative_squared_error
0.32740539296126286
root_relative_squared_error
0.3159963533921078
root_relative_squared_error
0.32575265452618013
root_relative_squared_error
0.31616711609216486
root_relative_squared_error
0.30023024610074744
root_relative_squared_error
0.319732066045142
root_relative_squared_error
0.32867619349466604
root_relative_squared_error
0.316805479192811
root_relative_squared_error
0.3191811293408304
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
154.71189999999967
usercpu_time_millis
152.09539999999944
usercpu_time_millis
151.2935999999998
usercpu_time_millis
151.63540000000086
usercpu_time_millis
159.32109999999787
usercpu_time_millis
149.2969000000013
usercpu_time_millis
155.55610000000186
usercpu_time_millis
152.61220000000185
usercpu_time_millis
152.93330000000083
usercpu_time_millis
153.20190000000088
usercpu_time_millis_testing
128.25169999999986
usercpu_time_millis_testing
126.74559999999957
usercpu_time_millis_testing
125.12599999999985
usercpu_time_millis_testing
125.18830000000048
usercpu_time_millis_testing
133.1654999999987
usercpu_time_millis_testing
122.95870000000164
usercpu_time_millis_testing
129.04160000000076
usercpu_time_millis_testing
126.28360000000072
usercpu_time_millis_testing
126.57220000000002
usercpu_time_millis_testing
126.70780000000015
usercpu_time_millis_training
26.460199999999823
usercpu_time_millis_training
25.349799999999867
usercpu_time_millis_training
26.167599999999958
usercpu_time_millis_training
26.44710000000039
usercpu_time_millis_training
26.15559999999917
usercpu_time_millis_training
26.338199999999645
usercpu_time_millis_training
26.514500000001107
usercpu_time_millis_training
26.328600000001146
usercpu_time_millis_training
26.361100000000803
usercpu_time_millis_training
26.494100000000742
wall_clock_time_millis
154.71267700195312
wall_clock_time_millis
152.10437774658203
wall_clock_time_millis
151.30305290222168
wall_clock_time_millis
151.63612365722656
wall_clock_time_millis
159.32226181030273
wall_clock_time_millis
149.29938316345215
wall_clock_time_millis
155.55834770202637
wall_clock_time_millis
152.62079238891602
wall_clock_time_millis
152.93407440185547
wall_clock_time_millis
153.20396423339844
wall_clock_time_millis_training
26.46040916442871
wall_clock_time_millis_training
25.349855422973633
wall_clock_time_millis_training
26.167631149291992
wall_clock_time_millis_training
26.447296142578125
wall_clock_time_millis_training
26.155948638916016
wall_clock_time_millis_training
26.33833885192871
wall_clock_time_millis_training
26.51500701904297
wall_clock_time_millis_training
26.32880210876465
wall_clock_time_millis_training
26.361465454101562
wall_clock_time_millis_training
26.494264602661133
wall_clock_time_millis_testing
128.2522678375244
wall_clock_time_millis_testing
126.7545223236084
wall_clock_time_millis_testing
125.13542175292969
wall_clock_time_millis_testing
125.18882751464844
wall_clock_time_millis_testing
133.16631317138672
wall_clock_time_millis_testing
122.96104431152344
wall_clock_time_millis_testing
129.0433406829834
wall_clock_time_millis_testing
126.29199028015137
wall_clock_time_millis_testing
126.5726089477539
wall_clock_time_millis_testing
126.7096996307373
unweighted_recall
0.9651054277643261 [0.973366,0.956845]
unweighted_recall
0.9669592413236481 [0.96368,0.970238]
unweighted_recall
0.9672492937853108 [0.98063,0.953869]
unweighted_recall
0.9702254842615012 [0.98063,0.959821]
unweighted_recall
0.9714361380145279 [0.983051,0.959821]
unweighted_recall
0.9716126916868442 [0.968523,0.974702]
unweighted_recall
0.9636173325262309 [0.973366,0.953869]
unweighted_recall
0.9665486964744023 [0.967273,0.965825]
unweighted_recall
0.9710648836057454 [0.973333,0.968796]
unweighted_recall
0.9703804763834482 [0.979394,0.961367]