8868644
710
William Raynaut
9960
Supervised Classification
7793
weka.kf.ReplaceMissingValues-Standardize-NaiveBayes(1)
6833248
mDataExp
Modelage
study_107
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
18653115
description
https://api.openml.org/data/download/18653115/description6179028812839031405.xml
-1
18653116
predictions
https://api.openml.org/data/download/18653116/predictions9083218277893555128.arff
area_under_roc_curve
0.784305 [0.734051,0.787352,0.946408,0.846353]
average_cost
0
f_measure
0.52983 [0.527919,0.537923,0.622851,0.47745]
kappa
0.360112
kb_relative_information_score
2261.177754
mean_absolute_error
0.236434
mean_prior_absolute_error
0.331238
number_of_instances
5456 [2205,2097,328,826]
precision
0.626543 [0.697987,0.692712,0.465961,0.331606]
predictive_accuracy
0.526026
prior_entropy
1.71511
recall
0.526026 [0.42449,0.439676,0.939024,0.8523]
relative_absolute_error
0.713789
root_mean_prior_squared_error
0.406944
root_mean_squared_error
0.437121
root_relative_squared_error
1.074158
total_cost
0
area_under_roc_curve
0.766995 [0.713623,0.772151,0.920934,0.835681]
area_under_roc_curve
0.764027 [0.726481,0.745961,0.904838,0.854815]
area_under_roc_curve
0.773385 [0.734056,0.763202,0.930829,0.840797]
area_under_roc_curve
0.805219 [0.748752,0.822215,0.921939,0.865479]
area_under_roc_curve
0.796067 [0.733171,0.806753,0.949554,0.874717]
area_under_roc_curve
0.773854 [0.715881,0.786671,0.938153,0.829764]
area_under_roc_curve
0.782099 [0.736979,0.781549,0.973532,0.829278]
area_under_roc_curve
0.793254 [0.744602,0.796117,0.983705,0.842161]
area_under_roc_curve
0.803521 [0.755991,0.811582,0.97381,0.842543]
area_under_roc_curve
0.787028 [0.733248,0.791887,0.969016,0.846349]
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
0.496881 [0.490358,0.495522,0.591837,0.47973]
f_measure
0.506666 [0.508571,0.502924,0.583333,0.480263]
f_measure
0.526552 [0.522727,0.532951,0.625,0.481356]
f_measure
0.55839 [0.548571,0.592375,0.571429,0.493243]
f_measure
0.552186 [0.510264,0.609164,0.613861,0.494624]
f_measure
0.504162 [0.513812,0.49848,0.571429,0.466216]
f_measure
0.558628 [0.566845,0.570605,0.633663,0.477612]
f_measure
0.540611 [0.536313,0.541667,0.711111,0.48366]
f_measure
0.519328 [0.533333,0.51497,0.653465,0.43871]
f_measure
0.532107 [0.547009,0.511628,0.6875,0.481605]
kappa
0.322418
kappa
0.334759
kappa
0.355346
kappa
0.394839
kappa
0.387172
kappa
0.330517
kappa
0.386658
kappa
0.375273
kappa
0.348613
kappa
0.366414
kb_relative_information_score
210.084214
kb_relative_information_score
213.963879
kb_relative_information_score
217.049152
kb_relative_information_score
239.856619
kb_relative_information_score
239.587132
kb_relative_information_score
211.844383
kb_relative_information_score
234.814313
kb_relative_information_score
233.800014
kb_relative_information_score
226.853216
kb_relative_information_score
233.324831
mean_absolute_error
0.246338
mean_absolute_error
0.244165
mean_absolute_error
0.243056
mean_absolute_error
0.226324
mean_absolute_error
0.227413
mean_absolute_error
0.246034
mean_absolute_error
0.229311
mean_absolute_error
0.232517
mean_absolute_error
0.235825
mean_absolute_error
0.233333
mean_prior_absolute_error
0.331143
mean_prior_absolute_error
0.331143
mean_prior_absolute_error
0.331375
mean_prior_absolute_error
0.331375
mean_prior_absolute_error
0.331375
mean_prior_absolute_error
0.331375
mean_prior_absolute_error
0.331121
mean_prior_absolute_error
0.331102
mean_prior_absolute_error
0.331186
mean_prior_absolute_error
0.331186
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
545 [220,210,32,83]
number_of_instances
545 [221,209,32,83]
number_of_instances
545 [221,209,33,82]
number_of_instances
545 [221,209,33,82]
precision
0.585866 [0.626761,0.664,0.446154,0.331776]
precision
0.606084 [0.689922,0.651515,0.444444,0.328829]
precision
0.617854 [0.69697,0.669065,0.47619,0.334906]
precision
0.671366 [0.738462,0.770992,0.416667,0.342723]
precision
0.640726 [0.719008,0.701863,0.455882,0.352041]
precision
0.603347 [0.65493,0.689076,0.416667,0.323944]
precision
0.63621 [0.688312,0.722628,0.463768,0.345946]
precision
0.641862 [0.70073,0.716535,0.551724,0.331839]
precision
0.638955 [0.741935,0.688,0.485294,0.298246]
precision
0.631064 [0.738462,0.651852,0.52381,0.331797]
predictive_accuracy
0.498168
predictive_accuracy
0.505495
predictive_accuracy
0.52381
predictive_accuracy
0.549451
predictive_accuracy
0.549451
predictive_accuracy
0.501832
predictive_accuracy
0.552294
predictive_accuracy
0.537615
predictive_accuracy
0.511927
predictive_accuracy
0.530275
prior_entropy
1.71511
prior_entropy
1.71511
prior_entropy
1.71511
prior_entropy
1.71511
prior_entropy
1.71511
prior_entropy
1.71511
prior_entropy
1.71511
prior_entropy
1.71511
prior_entropy
1.71511
prior_entropy
1.71511
recall
0.498168 [0.402715,0.395238,0.878788,0.865854]
recall
0.505495 [0.402715,0.409524,0.848485,0.890244]
recall
0.52381 [0.418182,0.442857,0.909091,0.855422]
recall
0.549451 [0.436364,0.480952,0.909091,0.879518]
recall
0.549451 [0.395455,0.538095,0.939394,0.831325]
recall
0.501832 [0.422727,0.390476,0.909091,0.831325]
recall
0.552294 [0.481818,0.471429,1,0.771084]
recall
0.537615 [0.434389,0.435407,1,0.891566]
recall
0.511927 [0.41629,0.411483,1,0.829268]
recall
0.530275 [0.434389,0.421053,1,0.878049]
relative_absolute_error
0.743901
relative_absolute_error
0.737338
relative_absolute_error
0.733478
relative_absolute_error
0.682985
relative_absolute_error
0.68627
relative_absolute_error
0.742466
relative_absolute_error
0.692529
relative_absolute_error
0.702252
relative_absolute_error
0.712063
relative_absolute_error
0.704538
root_mean_prior_squared_error
0.406827
root_mean_prior_squared_error
0.406827
root_mean_prior_squared_error
0.407111
root_mean_prior_squared_error
0.407111
root_mean_prior_squared_error
0.407111
root_mean_prior_squared_error
0.407111
root_mean_prior_squared_error
0.406799
root_mean_prior_squared_error
0.406777
root_mean_prior_squared_error
0.40688
root_mean_prior_squared_error
0.40688
root_mean_squared_error
0.4537
root_mean_squared_error
0.447847
root_mean_squared_error
0.440433
root_mean_squared_error
0.425456
root_mean_squared_error
0.428364
root_mean_squared_error
0.444035
root_mean_squared_error
0.429606
root_mean_squared_error
0.433308
root_mean_squared_error
0.435787
root_mean_squared_error
0.431774
root_relative_squared_error
1.115215
root_relative_squared_error
1.100828
root_relative_squared_error
1.08185
root_relative_squared_error
1.045061
root_relative_squared_error
1.052203
root_relative_squared_error
1.090696
root_relative_squared_error
1.056065
root_relative_squared_error
1.065224
root_relative_squared_error
1.071047
root_relative_squared_error
1.061183
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