523468
64
Rafael Gomes Mantovani
3841
Supervised Classification
predictive_accuracy
2598
classif.mlp(6)
3505
seed
1
2598
kind
Mersenne-Twister
2598
normal.kind
Inversion
2598
study_7
978
mfeat-factors
https://www.openml.org/data/download/53512/mfeat-factors.arff
-1
1796326
description
https://api.openml.org/data/download/1796326/file3d1f6b1bfdd8
-1
1796327
predictions
https://api.openml.org/data/download/1796327/file3d1f18c9bff7
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
f_measure
0.852632 [0,0.947368]
kappa
0
kb_relative_information_score
519.350018
mean_absolute_error
0.1
mean_prior_absolute_error
0.18032
number_of_instances
2000 [200,1800]
precision
0.81 [0,0.9]
predictive_accuracy
0.9
prior_entropy
0.470261
recall
0.9 [0,1]
relative_absolute_error
0.554571
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.316228
root_relative_squared_error
1.054092
total_cost
0
usercpu_time_millis
353.93
usercpu_time_millis_testing
24.3169999999999
usercpu_time_millis_training
329.613
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
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
0.852632 [0,0.947368]
f_measure
0.852632 [0,0.947368]
f_measure
0.852632 [0,0.947368]
f_measure
0.852632 [0,0.947368]
f_measure
0.852632 [0,0.947368]
f_measure
0.852632 [0,0.947368]
f_measure
0.852632 [0,0.947368]
f_measure
0.852632 [0,0.947368]
f_measure
0.852632 [0,0.947368]
f_measure
0.852632 [0,0.947368]
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
51.935002
kb_relative_information_score
51.935002
kb_relative_information_score
51.935002
kb_relative_information_score
51.935002
kb_relative_information_score
51.935002
kb_relative_information_score
51.935002
kb_relative_information_score
51.935002
kb_relative_information_score
51.935002
kb_relative_information_score
51.935002
kb_relative_information_score
51.935002
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_absolute_error
0.1
mean_prior_absolute_error
0.18032
mean_prior_absolute_error
0.18032
mean_prior_absolute_error
0.18032
mean_prior_absolute_error
0.18032
mean_prior_absolute_error
0.18032
mean_prior_absolute_error
0.18032
mean_prior_absolute_error
0.18032
mean_prior_absolute_error
0.18032
mean_prior_absolute_error
0.18032
mean_prior_absolute_error
0.18032
number_of_instances
200 [20,180]
number_of_instances
200 [20,180]
number_of_instances
200 [20,180]
number_of_instances
200 [20,180]
number_of_instances
200 [20,180]
number_of_instances
200 [20,180]
number_of_instances
200 [20,180]
number_of_instances
200 [20,180]
number_of_instances
200 [20,180]
number_of_instances
200 [20,180]
precision
0.81 [0,0.9]
precision
0.81 [0,0.9]
precision
0.81 [0,0.9]
precision
0.81 [0,0.9]
precision
0.81 [0,0.9]
precision
0.81 [0,0.9]
precision
0.81 [0,0.9]
precision
0.81 [0,0.9]
precision
0.81 [0,0.9]
precision
0.81 [0,0.9]
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.9
prior_entropy
0.470261
prior_entropy
0.470261
prior_entropy
0.470261
prior_entropy
0.470261
prior_entropy
0.470261
prior_entropy
0.470261
prior_entropy
0.470261
prior_entropy
0.470261
prior_entropy
0.470261
prior_entropy
0.470261
recall
0.9 [0,1]
recall
0.9 [0,1]
recall
0.9 [0,1]
recall
0.9 [0,1]
recall
0.9 [0,1]
recall
0.9 [0,1]
recall
0.9 [0,1]
recall
0.9 [0,1]
recall
0.9 [0,1]
recall
0.9 [0,1]
relative_absolute_error
0.554571
relative_absolute_error
0.554571
relative_absolute_error
0.554571
relative_absolute_error
0.554571
relative_absolute_error
0.554571
relative_absolute_error
0.554571
relative_absolute_error
0.554571
relative_absolute_error
0.554571
relative_absolute_error
0.554571
relative_absolute_error
0.554571
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_mean_squared_error
0.316228
root_relative_squared_error
1.054092
root_relative_squared_error
1.054092
root_relative_squared_error
1.054092
root_relative_squared_error
1.054092
root_relative_squared_error
1.054092
root_relative_squared_error
1.054092
root_relative_squared_error
1.054092
root_relative_squared_error
1.054092
root_relative_squared_error
1.054092
root_relative_squared_error
1.054092
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