8864532
710
William Raynaut
145676
Supervised Classification
area_under_roc_curve
7789
weka.kf.Bagging-NaiveBayes(1)
6833238
mDataExp
Modelage
study_107
4537
GesturePhaseSegmentationRAW
https://www.openml.org/data/download/1798764/php8F3DIv
-1
18644913
description
https://api.openml.org/data/download/18644913/description9129923740951100640.xml
-1
18644914
predictions
https://api.openml.org/data/download/18644914/predictions7018854452945894383.arff
area_under_roc_curve
0.701143 [0.648663,0.628387,0.792789,0.533131,0.746546,0.5]
average_cost
0
f_measure
0.408421 [0.210272,0.31665,0.556099,0,0.552674,0]
kappa
0.246855
kb_relative_information_score
2753.564393
mean_absolute_error
0.198728
mean_prior_absolute_error
0.255341
number_of_instances
9901 [998,2096,2769,1087,2950,1]
precision
0.426753 [0.150519,0.340659,0.48211,0,0.686808,0]
predictive_accuracy
0.419251
prior_entropy
2.194893
recall
0.419251 [0.348697,0.295802,0.656916,0,0.462373,0]
relative_absolute_error
0.778285
root_mean_prior_squared_error
0.357301
root_mean_squared_error
0.395376
root_relative_squared_error
1.106564
total_cost
0
area_under_roc_curve
0.712669 [0.703481,0.64204,0.811607,0.543604,0.736319,0.5]
area_under_roc_curve
0.709675 [0.625951,0.658065,0.786872,0.540087,0.764687,0.0]
area_under_roc_curve
0.693293 [0.656669,0.59128,0.789953,0.495017,0.76048,0.0]
area_under_roc_curve
0.716707 [0.645011,0.643455,0.806839,0.558352,0.766787,0.0]
area_under_roc_curve
0.683522 [0.62709,0.576665,0.793168,0.545346,0.726455,0.0]
area_under_roc_curve
0.696426 [0.636983,0.624261,0.790745,0.530657,0.740388,0.0]
area_under_roc_curve
0.710291 [0.660865,0.636856,0.817819,0.571213,0.72927,0.0]
area_under_roc_curve
0.723756 [0.667466,0.666484,0.785285,0.543399,0.791862,0.0]
area_under_roc_curve
0.701126 [0.637697,0.639618,0.779913,0.547168,0.748799,0.0]
area_under_roc_curve
0.684438 [0.637022,0.617094,0.774627,0.488149,0.736598,0.0]
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
average_cost
0
f_measure
0.408868 [0.247678,0.300254,0.57485,0,0.536885,0]
f_measure
0.398844 [0.165242,0.30137,0.541033,0,0.560484,0]
f_measure
0.392 [0.20178,0.293963,0.542424,0,0.529532,0]
f_measure
0.411043 [0.205279,0.333333,0.569182,0,0.539235,0]
f_measure
0.407866 [0.236364,0.315789,0.553991,0,0.544732,0]
f_measure
0.403006 [0.185185,0.306905,0.549317,0,0.556452,0]
f_measure
0.429424 [0.227273,0.351288,0.604294,0,0.546584,0]
f_measure
0.4295 [0.231003,0.352332,0.558069,0,0.588235,0]
f_measure
0.408912 [0.209302,0.322251,0.545732,0,0.559499,0]
f_measure
0.394182 [0.198142,0.284238,0.522273,0,0.564706,0]
kappa
0.254358
kappa
0.230381
kappa
0.226402
kappa
0.250094
kappa
0.248091
kappa
0.237597
kappa
0.27671
kappa
0.27337
kappa
0.245302
kappa
0.226342
kb_relative_information_score
285.11929
kb_relative_information_score
263.710413
kb_relative_information_score
259.637925
kb_relative_information_score
280.542698
kb_relative_information_score
265.852286
kb_relative_information_score
267.70674
kb_relative_information_score
298.114517
kb_relative_information_score
302.061727
kb_relative_information_score
272.598174
kb_relative_information_score
258.220624
mean_absolute_error
0.196239
mean_absolute_error
0.200573
mean_absolute_error
0.202959
mean_absolute_error
0.196658
mean_absolute_error
0.20268
mean_absolute_error
0.200254
mean_absolute_error
0.193086
mean_absolute_error
0.191623
mean_absolute_error
0.19987
mean_absolute_error
0.203344
mean_prior_absolute_error
0.25539
mean_prior_absolute_error
0.255312
mean_prior_absolute_error
0.255349
mean_prior_absolute_error
0.255349
mean_prior_absolute_error
0.255349
mean_prior_absolute_error
0.255349
mean_prior_absolute_error
0.255315
mean_prior_absolute_error
0.255315
mean_prior_absolute_error
0.255315
mean_prior_absolute_error
0.255372
number_of_instances
991 [99,210,277,109,295,1]
number_of_instances
990 [99,210,277,109,295,0]
number_of_instances
990 [100,209,277,109,295,0]
number_of_instances
990 [100,209,277,109,295,0]
number_of_instances
990 [100,209,277,109,295,0]
number_of_instances
990 [100,209,277,109,295,0]
number_of_instances
990 [100,210,277,108,295,0]
number_of_instances
990 [100,210,277,108,295,0]
number_of_instances
990 [100,210,277,108,295,0]
number_of_instances
990 [100,210,276,109,295,0]
precision
0.425466 [0.178571,0.322404,0.491049,0,0.678756,0]
precision
0.423562 [0.115079,0.354839,0.467192,0,0.691542,0]
precision
0.411632 [0.14346,0.325581,0.467363,0,0.663265,0]
precision
0.427917 [0.145228,0.352941,0.504178,0,0.663366,0]
precision
0.420201 [0.169565,0.331579,0.48895,0,0.658654,0]
precision
0.420283 [0.133929,0.32967,0.473822,0,0.686567,0]
precision
0.446518 [0.168269,0.345622,0.525333,0,0.702128,0]
precision
0.451035 [0.165939,0.386364,0.479275,0,0.732323,0]
precision
0.43789 [0.147541,0.348066,0.472296,0,0.728261,0]
precision
0.406369 [0.143498,0.310734,0.453333,0,0.669767,0]
predictive_accuracy
0.425832
predictive_accuracy
0.405051
predictive_accuracy
0.40303
predictive_accuracy
0.420202
predictive_accuracy
0.420202
predictive_accuracy
0.413131
predictive_accuracy
0.443434
predictive_accuracy
0.440404
predictive_accuracy
0.416162
predictive_accuracy
0.405051
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
recall
0.425832 [0.40404,0.280952,0.693141,0,0.444068,0]
recall
0.405051 [0.292929,0.261905,0.642599,0,0.471186,0]
recall
0.40303 [0.34,0.267943,0.646209,0,0.440678,0]
recall
0.420202 [0.35,0.315789,0.65343,0,0.454237,0]
recall
0.420202 [0.39,0.301435,0.638989,0,0.464407,0]
recall
0.413131 [0.3,0.287081,0.65343,0,0.467797,0]
recall
0.443434 [0.35,0.357143,0.711191,0,0.447458,0]
recall
0.440404 [0.38,0.32381,0.66787,0,0.491525,0]
recall
0.416162 [0.36,0.3,0.646209,0,0.454237,0]
recall
0.405051 [0.32,0.261905,0.615942,0,0.488136,0]
relative_absolute_error
0.768389
relative_absolute_error
0.7856
relative_absolute_error
0.794829
relative_absolute_error
0.770156
relative_absolute_error
0.793738
relative_absolute_error
0.784237
relative_absolute_error
0.756267
relative_absolute_error
0.750535
relative_absolute_error
0.782839
relative_absolute_error
0.796266
root_mean_prior_squared_error
0.357369
root_mean_prior_squared_error
0.357259
root_mean_prior_squared_error
0.357311
root_mean_prior_squared_error
0.357311
root_mean_prior_squared_error
0.357311
root_mean_prior_squared_error
0.357311
root_mean_prior_squared_error
0.357263
root_mean_prior_squared_error
0.357263
root_mean_prior_squared_error
0.357263
root_mean_prior_squared_error
0.357343
root_mean_squared_error
0.393434
root_mean_squared_error
0.39727
root_mean_squared_error
0.400463
root_mean_squared_error
0.394203
root_mean_squared_error
0.400103
root_mean_squared_error
0.398811
root_mean_squared_error
0.388423
root_mean_squared_error
0.383442
root_mean_squared_error
0.395452
root_mean_squared_error
0.401784
root_relative_squared_error
1.100917
root_relative_squared_error
1.111993
root_relative_squared_error
1.120766
root_relative_squared_error
1.103247
root_relative_squared_error
1.119759
root_relative_squared_error
1.116143
root_relative_squared_error
1.087218
root_relative_squared_error
1.073277
root_relative_squared_error
1.106893
root_relative_squared_error
1.124364
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