8895845
710
William Raynaut
145840
Supervised Classification
8309
weka.kf.Bagging-JRip(1)
6835537
mDataExp
Modelage
study_107
1468
cnae-9
https://www.openml.org/data/download/1586233/phpmcGu2X
-1
18707437
description
https://www.openml.org/data/download/18707437/description6340858032124214420.xml
-1
18707438
predictions
https://www.openml.org/data/download/18707438/predictions2118690633961955423.arff
area_under_roc_curve
0.990257 [0.998615,0.99865,0.992023,0.976445,0.979297,0.99411,0.997882,0.998394,0.976892]
average_cost
0
f_measure
0.916095 [0.95082,0.956897,0.873563,0.866667,0.983193,0.863813,0.956522,0.978903,0.81448]
kappa
0.905208
kb_relative_information_score
946.292254
mean_absolute_error
0.036667
mean_prior_absolute_error
0.197531
number_of_instances
1080 [120,120,120,120,120,120,120,120,120]
precision
0.920669 [0.935484,0.991071,0.808511,0.866667,0.991525,0.810219,1,0.991453,0.891089]
predictive_accuracy
0.915741
prior_entropy
3.169925
recall
0.915741 [0.966667,0.925,0.95,0.866667,0.975,0.925,0.916667,0.966667,0.75]
relative_absolute_error
0.185627
root_mean_prior_squared_error
0.31427
root_mean_squared_error
0.120201
root_relative_squared_error
0.382476
total_cost
0
area_under_roc_curve
0.997106 [1,0.999566,0.993056,0.990451,1,0.994792,1,0.998698,0.997396]
area_under_roc_curve
0.973283 [0.999132,0.99566,0.998698,0.994792,0.875,0.998264,0.988715,1,0.909288]
area_under_roc_curve
0.994068 [1,0.99783,1,0.953125,1,1,1,1,0.99566]
area_under_roc_curve
0.989776 [0.997396,1,0.992188,0.956597,1,0.982639,0.994792,0.999132,0.985243]
area_under_roc_curve
0.992863 [1,0.999132,0.963108,0.996528,1,0.988715,1,0.990451,0.99783]
area_under_roc_curve
0.99267 [0.998264,1,1,0.97309,1,0.997396,0.996528,1,0.96875]
area_under_roc_curve
0.992766 [0.99783,0.999566,0.997396,0.980903,1,0.987413,0.996962,1,0.974826]
area_under_roc_curve
0.992911 [1,1,0.977431,0.990451,1,0.993924,1,0.999566,0.974826]
area_under_roc_curve
0.997637 [0.99566,0.994792,1,0.998264,1,1,0.99783,1,0.992188]
area_under_roc_curve
0.990114 [1,1,1,0.926649,1,0.997396,1,1,0.986979]
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
0.91892 [1,0.956522,0.8,0.833333,1,0.814815,1,0.956522,0.909091]
f_measure
0.882965 [0.923077,0.956522,0.923077,0.888889,0.857143,0.888889,0.909091,1,0.6]
f_measure
0.953838 [1,0.956522,0.888889,0.869565,1,1,1,1,0.869565]
f_measure
0.863452 [0.869565,1,0.758621,0.75,1,0.8,0.909091,0.956522,0.727273]
f_measure
0.92692 [1,0.916667,0.88,0.88,1,0.8,1,0.956522,0.909091]
f_measure
0.915653 [0.916667,1,0.888889,0.88,1,0.88,0.857143,1,0.818182]
f_measure
0.898698 [0.96,0.909091,0.827586,0.818182,1,0.846154,0.909091,1,0.818182]
f_measure
0.907238 [1,1,0.916667,0.833333,1,0.758621,1,0.956522,0.7]
f_measure
0.925442 [0.846154,0.857143,0.923077,0.956522,1,0.96,0.956522,0.96,0.869565]
f_measure
0.963301 [1,1,0.956522,0.956522,0.96,0.916667,1,1,0.88]
kappa
0.90625
kappa
0.875
kappa
0.947917
kappa
0.84375
kappa
0.916667
kappa
0.90625
kappa
0.885417
kappa
0.895833
kappa
0.916667
kappa
0.958333
kb_relative_information_score
96.474594
kb_relative_information_score
91.005991
kb_relative_information_score
97.185551
kb_relative_information_score
90.630333
kb_relative_information_score
94.851776
kb_relative_information_score
95.227821
kb_relative_information_score
93.186691
kb_relative_information_score
94.554459
kb_relative_information_score
95.594177
kb_relative_information_score
97.580861
mean_absolute_error
0.032145
mean_absolute_error
0.042949
mean_absolute_error
0.031366
mean_absolute_error
0.044518
mean_absolute_error
0.037936
mean_absolute_error
0.034729
mean_absolute_error
0.038738
mean_absolute_error
0.036465
mean_absolute_error
0.035032
mean_absolute_error
0.032792
mean_prior_absolute_error
0.197531
mean_prior_absolute_error
0.197531
mean_prior_absolute_error
0.197531
mean_prior_absolute_error
0.197531
mean_prior_absolute_error
0.197531
mean_prior_absolute_error
0.197531
mean_prior_absolute_error
0.197531
mean_prior_absolute_error
0.197531
mean_prior_absolute_error
0.197531
mean_prior_absolute_error
0.197531
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
precision
0.926211 [1,1,0.769231,0.833333,1,0.733333,1,1,1]
precision
0.896032 [0.857143,1,0.857143,0.8,1,0.8,1,1,0.75]
precision
0.957576 [1,1,0.8,0.909091,1,1,1,1,0.909091]
precision
0.875042 [0.909091,1,0.647059,0.75,1,0.769231,1,1,0.8]
precision
0.930912 [1,0.916667,0.846154,0.846154,1,0.769231,1,1,1]
precision
0.923219 [0.916667,1,0.8,0.846154,1,0.846154,1,1,0.9]
precision
0.912742 [0.923077,1,0.705882,0.9,1,0.785714,1,1,0.9]
precision
0.919118 [1,1,0.916667,0.833333,1,0.647059,1,1,0.875]
precision
0.933122 [0.785714,1,0.857143,1,1,0.923077,1,0.923077,0.909091]
precision
0.9651 [1,1,1,1,0.923077,0.916667,1,1,0.846154]
predictive_accuracy
0.916667
predictive_accuracy
0.888889
predictive_accuracy
0.953704
predictive_accuracy
0.861111
predictive_accuracy
0.925926
predictive_accuracy
0.916667
predictive_accuracy
0.898148
predictive_accuracy
0.907407
predictive_accuracy
0.925926
predictive_accuracy
0.962963
prior_entropy
3.169925
prior_entropy
3.169925
prior_entropy
3.169925
prior_entropy
3.169925
prior_entropy
3.169925
prior_entropy
3.169925
prior_entropy
3.169925
prior_entropy
3.169925
prior_entropy
3.169925
prior_entropy
3.169925
recall
0.916667 [1,0.916667,0.833333,0.833333,1,0.916667,1,0.916667,0.833333]
recall
0.888889 [1,0.916667,1,1,0.75,1,0.833333,1,0.5]
recall
0.953704 [1,0.916667,1,0.833333,1,1,1,1,0.833333]
recall
0.861111 [0.833333,1,0.916667,0.75,1,0.833333,0.833333,0.916667,0.666667]
recall
0.925926 [1,0.916667,0.916667,0.916667,1,0.833333,1,0.916667,0.833333]
recall
0.916667 [0.916667,1,1,0.916667,1,0.916667,0.75,1,0.75]
recall
0.898148 [1,0.833333,1,0.75,1,0.916667,0.833333,1,0.75]
recall
0.907407 [1,1,0.916667,0.833333,1,0.916667,1,0.916667,0.583333]
recall
0.925926 [0.916667,0.75,1,0.916667,1,1,0.916667,1,0.833333]
recall
0.962963 [1,1,0.916667,0.916667,1,0.916667,1,1,0.916667]
relative_absolute_error
0.162736
relative_absolute_error
0.217431
relative_absolute_error
0.158788
relative_absolute_error
0.225372
relative_absolute_error
0.192053
relative_absolute_error
0.175816
relative_absolute_error
0.196111
relative_absolute_error
0.184603
relative_absolute_error
0.17735
relative_absolute_error
0.166008
root_mean_prior_squared_error
0.31427
root_mean_prior_squared_error
0.31427
root_mean_prior_squared_error
0.31427
root_mean_prior_squared_error
0.31427
root_mean_prior_squared_error
0.31427
root_mean_prior_squared_error
0.31427
root_mean_prior_squared_error
0.31427
root_mean_prior_squared_error
0.31427
root_mean_prior_squared_error
0.31427
root_mean_prior_squared_error
0.31427
root_mean_squared_error
0.10935
root_mean_squared_error
0.139093
root_mean_squared_error
0.102031
root_mean_squared_error
0.142266
root_mean_squared_error
0.116816
root_mean_squared_error
0.117364
root_mean_squared_error
0.127436
root_mean_squared_error
0.121698
root_mean_squared_error
0.116486
root_mean_squared_error
0.102411
root_relative_squared_error
0.34795
root_relative_squared_error
0.442592
root_relative_squared_error
0.32466
root_relative_squared_error
0.452687
root_relative_squared_error
0.371706
root_relative_squared_error
0.373451
root_relative_squared_error
0.405499
root_relative_squared_error
0.387241
root_relative_squared_error
0.370655
root_relative_squared_error
0.32587
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