1851762
348
Giuseppe Casalicchio
3567
Supervised Classification
5711
mlr.classif.featureless.preproc(2)
30199
openml.seed
1
5711
openml.kind
Mersenne-Twister
5711
openml.normal.kind
Inversion
5711
mlr_defauls_top60
478
collins
https://www.openml.org/data/download/52590/collins.arff
-1
4652540
description
https://www.openml.org/data/download/4652540/description51ef33641208.xml
-1
4652541
predictions
https://www.openml.org/data/download/4652541/predictions51ef3648d86e.arff
area_under_roc_curve
0.474771 [0.470096,0.458891,0.436061,0.436061,0.46408,0.481563,0.480392,0.5,0.5,0.483527,0.447479,0.297571,0.483527,0.483527,0.449084]
average_cost
0
f_measure
0.044138 [0,0,0,0,0,0,0,0,0.275862,0,0,0,0,0,0]
kappa
0
kb_relative_information_score
1.532573
mean_absolute_error
0.121089
mean_prior_absolute_error
0.121173
number_of_instances
500 [44,27,17,17,36,48,75,30,80,29,24,6,29,29,9]
precision
0.0256 [0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0]
predictive_accuracy
0.16
prior_entropy
3.664225
recall
0.16 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
relative_absolute_error
0.999306
root_mean_prior_squared_error
0.246047
root_mean_squared_error
0.246074
root_relative_squared_error
1.00011
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.0]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.0,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.0,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.0,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.0,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
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
0.044138 [0,0,0,0,0,0,0,0,0.275862,0,0,0,0,0,0]
f_measure
0.044138 [0,0,0,0,0,0,0,0,0.275862,0,0,0,0,0,0]
f_measure
0.044138 [0,0,0,0,0,0,0,0,0.275862,0,0,0,0,0,0]
f_measure
0.044138 [0,0,0,0,0,0,0,0,0.275862,0,0,0,0,0,0]
f_measure
0.044138 [0,0,0,0,0,0,0,0,0.275862,0,0,0,0,0,0]
f_measure
0.044138 [0,0,0,0,0,0,0,0,0.275862,0,0,0,0,0,0]
f_measure
0.044138 [0,0,0,0,0,0,0,0,0.275862,0,0,0,0,0,0]
f_measure
0.044138 [0,0,0,0,0,0,0,0,0.275862,0,0,0,0,0,0]
f_measure
0.044138 [0,0,0,0,0,0,0,0,0.275862,0,0,0,0,0,0]
f_measure
0.044138 [0,0,0,0,0,0,0,0,0.275862,0,0,0,0,0,0]
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
0.152273
kb_relative_information_score
0.175328
kb_relative_information_score
0.169751
kb_relative_information_score
0.142217
kb_relative_information_score
0.142217
kb_relative_information_score
0.118524
kb_relative_information_score
0.120122
kb_relative_information_score
0.174261
kb_relative_information_score
0.174261
kb_relative_information_score
0.163619
mean_absolute_error
0.12115
mean_absolute_error
0.121274
mean_absolute_error
0.121262
mean_absolute_error
0.121084
mean_absolute_error
0.121084
mean_absolute_error
0.120824
mean_absolute_error
0.120853
mean_absolute_error
0.12115
mean_absolute_error
0.12115
mean_absolute_error
0.121061
mean_prior_absolute_error
0.121238
mean_prior_absolute_error
0.121377
mean_prior_absolute_error
0.121367
mean_prior_absolute_error
0.12117
mean_prior_absolute_error
0.12117
mean_prior_absolute_error
0.12088
mean_prior_absolute_error
0.120917
mean_prior_absolute_error
0.121238
mean_prior_absolute_error
0.121238
mean_prior_absolute_error
0.121139
number_of_instances
50 [4,3,1,2,4,5,7,3,8,3,3,1,3,3,0]
number_of_instances
50 [4,3,2,2,4,5,7,3,8,3,2,1,3,2,1]
number_of_instances
50 [4,2,2,2,4,5,7,3,8,3,2,1,3,3,1]
number_of_instances
50 [5,2,2,2,4,5,7,3,8,3,2,0,3,3,1]
number_of_instances
50 [5,2,2,2,4,5,7,3,8,3,2,0,3,3,1]
number_of_instances
50 [5,3,2,1,4,5,8,3,8,3,2,0,2,3,1]
number_of_instances
50 [5,3,2,1,3,5,8,3,8,3,2,0,3,3,1]
number_of_instances
50 [4,3,2,1,3,4,8,3,8,3,3,1,3,3,1]
number_of_instances
50 [4,3,1,2,3,4,8,3,8,3,3,1,3,3,1]
number_of_instances
50 [4,3,1,2,3,5,8,3,8,2,3,1,3,3,1]
precision
0.0256 [0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0]
precision
0.0256 [0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0]
precision
0.0256 [0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0]
precision
0.0256 [0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0]
precision
0.0256 [0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0]
precision
0.0256 [0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0]
precision
0.0256 [0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0]
precision
0.0256 [0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0]
precision
0.0256 [0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0]
precision
0.0256 [0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0]
predictive_accuracy
0.16
predictive_accuracy
0.16
predictive_accuracy
0.16
predictive_accuracy
0.16
predictive_accuracy
0.16
predictive_accuracy
0.16
predictive_accuracy
0.16
predictive_accuracy
0.16
predictive_accuracy
0.16
predictive_accuracy
0.16
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
recall
0.16 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.16 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.16 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.16 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.16 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.16 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.16 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.16 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.16 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.16 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
relative_absolute_error
0.999275
relative_absolute_error
0.999149
relative_absolute_error
0.999137
relative_absolute_error
0.999292
relative_absolute_error
0.999292
relative_absolute_error
0.999532
relative_absolute_error
0.999478
relative_absolute_error
0.999275
relative_absolute_error
0.999275
relative_absolute_error
0.999353
root_mean_prior_squared_error
0.246177
root_mean_prior_squared_error
0.246461
root_mean_prior_squared_error
0.24644
root_mean_prior_squared_error
0.24604
root_mean_prior_squared_error
0.24604
root_mean_prior_squared_error
0.245451
root_mean_prior_squared_error
0.245524
root_mean_prior_squared_error
0.246177
root_mean_prior_squared_error
0.246177
root_mean_prior_squared_error
0.245977
root_mean_squared_error
0.246212
root_mean_squared_error
0.246496
root_mean_squared_error
0.24647
root_mean_squared_error
0.246063
root_mean_squared_error
0.246063
root_mean_squared_error
0.245466
root_mean_squared_error
0.245534
root_mean_squared_error
0.246212
root_mean_squared_error
0.246212
root_mean_squared_error
0.246008
root_relative_squared_error
1.00014
root_relative_squared_error
1.000144
root_relative_squared_error
1.000121
root_relative_squared_error
1.000093
root_relative_squared_error
1.000093
root_relative_squared_error
1.000063
root_relative_squared_error
1.00004
root_relative_squared_error
1.00014
root_relative_squared_error
1.00014
root_relative_squared_error
1.000127
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