480976
64
Rafael Gomes Mantovani
3742
Supervised Classification
predictive_accuracy
1821
classif.boosting(2)
2420
xval
0
1821
seed
1
1821
kind
Mersenne-Twister
1821
normal.kind
Inversion
1821
878
fri_c4_100_10
https://www.openml.org/data/download/53412/fri_c4_100_10.arff
-1
1691412
description
https://api.openml.org/data/download/1691412/file1c576e3ad7cd
-1
1691413
predictions
https://api.openml.org/data/download/1691413/file1c5772a09024
area_under_roc_curve
0.896026 [0.896026,0.896026]
average_cost
0
f_measure
0.809866 [0.795699,0.82243]
kappa
0.618167
kb_relative_information_score
28.616926
mean_absolute_error
0.377609
mean_prior_absolute_error
0.498235
number_of_instances
100 [47,53]
precision
0.809895 [0.804348,0.814815]
predictive_accuracy
0.81
prior_entropy
0.997503
recall
0.81 [0.787234,0.830189]
relative_absolute_error
0.757893
root_mean_prior_squared_error
0.4991
root_mean_squared_error
0.400259
root_relative_squared_error
0.801962
total_cost
0
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.92 [0.92,0.92]
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
0.896703 [0.857143,0.923077]
f_measure
0.6 [0.5,0.666667]
f_measure
0.8 [0.75,0.833333]
f_measure
1 [1,1]
f_measure
0.8 [0.8,0.8]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.8 [0.8,0.8]
kappa
0.782609
kappa
0.166667
kappa
0.583333
kappa
1
kappa
0.6
kappa
0.8
kappa
0.8
kappa
0.4
kappa
0.4
kappa
0.6
kb_relative_information_score
2.872532
kb_relative_information_score
1.373708
kb_relative_information_score
2.648333
kb_relative_information_score
5.663781
kb_relative_information_score
2.720967
kb_relative_information_score
2.603847
kb_relative_information_score
3.257922
kb_relative_information_score
3.551904
kb_relative_information_score
1.263964
kb_relative_information_score
2.659968
mean_absolute_error
0.374168
mean_absolute_error
0.43359
mean_absolute_error
0.381752
mean_absolute_error
0.254493
mean_absolute_error
0.382364
mean_absolute_error
0.39634
mean_absolute_error
0.365961
mean_absolute_error
0.34728
mean_absolute_error
0.449292
mean_absolute_error
0.390854
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.494118
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
precision
0.914286 [1,0.857143]
precision
0.6 [0.5,0.666667]
precision
0.8 [0.75,0.833333]
precision
1 [1,1]
precision
0.8 [0.8,0.8]
precision
0.916667 [0.833333,1]
precision
0.916667 [1,0.833333]
precision
0.708333 [0.666667,0.75]
precision
0.708333 [0.75,0.666667]
precision
0.8 [0.8,0.8]
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.8
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
prior_entropy
0.997503
recall
0.9 [0.75,1]
recall
0.6 [0.5,0.666667]
recall
0.8 [0.75,0.833333]
recall
1 [1,1]
recall
0.8 [0.8,0.8]
recall
0.9 [1,0.8]
recall
0.9 [0.8,1]
recall
0.7 [0.8,0.6]
recall
0.7 [0.6,0.8]
recall
0.8 [0.8,0.8]
relative_absolute_error
0.757244
relative_absolute_error
0.877504
relative_absolute_error
0.772594
relative_absolute_error
0.508985
relative_absolute_error
0.764728
relative_absolute_error
0.792679
relative_absolute_error
0.731921
relative_absolute_error
0.694559
relative_absolute_error
0.898583
relative_absolute_error
0.781708
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.494957
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_prior_squared_error
0.500864
root_mean_squared_error
0.393292
root_mean_squared_error
0.459562
root_mean_squared_error
0.404984
root_mean_squared_error
0.272131
root_mean_squared_error
0.410102
root_mean_squared_error
0.405333
root_mean_squared_error
0.388238
root_mean_squared_error
0.373082
root_mean_squared_error
0.459396
root_mean_squared_error
0.405814
root_relative_squared_error
0.794598
root_relative_squared_error
0.928489
root_relative_squared_error
0.81822
root_relative_squared_error
0.543323
root_relative_squared_error
0.818789
root_relative_squared_error
0.809267
root_relative_squared_error
0.775137
root_relative_squared_error
0.744876
root_relative_squared_error
0.917206
root_relative_squared_error
0.810226
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