524001
64
Rafael Gomes Mantovani
9981
Supervised Classification
2598
classif.mlp(6)
3505
seed
1
2598
kind
Mersenne-Twister
2598
normal.kind
Inversion
2598
study_7
1468
cnae-9
https://www.openml.org/data/download/1586233/phpmcGu2X
-1
1797436
description
https://www.openml.org/data/download/1797436/file3c8066acc4e
-1
1797437
predictions
https://www.openml.org/data/download/1797437/file3c8038767a83
area_under_roc_curve
0.966146 [0.99375,0.973437,0.955208,0.944271,0.991146,0.972396,0.966146,0.985417,0.913542]
average_cost
0
f_measure
0.939939 [0.979424,0.962025,0.932203,0.879032,0.987448,0.927419,0.961373,0.970954,0.859574]
kappa
0.932292
kb_relative_information_score
1011.515651
mean_absolute_error
0.013374
mean_prior_absolute_error
0.197531
number_of_instances
1080 [120,120,120,120,120,120,120,120,120]
precision
0.940896 [0.96748,0.974359,0.948276,0.851562,0.991597,0.898438,0.99115,0.966942,0.878261]
predictive_accuracy
0.939815
prior_entropy
3.169925
recall
0.939815 [0.991667,0.95,0.916667,0.908333,0.983333,0.958333,0.933333,0.975,0.841667]
relative_absolute_error
0.067708
root_mean_prior_squared_error
0.31427
root_mean_squared_error
0.115648
root_relative_squared_error
0.36799
total_cost
0
usercpu_time_millis
575.048
usercpu_time_millis_testing
56.6630000000001
usercpu_time_millis_training
518.385
area_under_roc_curve
0.963542 [1,0.958333,0.901042,0.901042,1,0.994792,1,0.958333,0.958333]
area_under_roc_curve
0.932292 [0.994792,0.958333,0.958333,0.979167,0.916667,0.895833,0.953125,1,0.734375]
area_under_roc_curve
0.984375 [1,0.953125,1,0.958333,1,1,1,0.994792,0.953125]
area_under_roc_curve
0.953125 [1,0.994792,0.947917,0.864583,1,0.953125,0.916667,0.994792,0.90625]
area_under_roc_curve
0.973958 [1,1,0.916667,0.984375,1,0.994792,1,0.958333,0.911458]
area_under_roc_curve
0.979167 [1,1,0.958333,0.994792,1,1,0.916667,0.989583,0.953125]
area_under_roc_curve
0.958333 [0.947917,0.953125,0.994792,0.911458,1,0.984375,0.916667,1,0.916667]
area_under_roc_curve
0.96875 [0.994792,0.958333,0.916667,0.979167,1,1,1,0.958333,0.911458]
area_under_roc_curve
0.96875 [1,0.958333,1,0.911458,1,0.953125,0.958333,1,0.9375]
area_under_roc_curve
0.979167 [1,1,0.958333,0.958333,0.994792,0.947917,1,1,0.953125]
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
0.936618 [1,0.956522,0.8,0.8,1,0.96,1,0.956522,0.956522]
f_measure
0.8774 [0.96,0.956522,0.956522,0.857143,0.909091,0.769231,0.916667,1,0.571429]
f_measure
0.972206 [1,0.916667,1,0.956522,1,1,1,0.96,0.916667]
f_measure
0.915744 [1,0.96,0.88,0.782609,1,0.916667,0.909091,0.96,0.833333]
f_measure
0.953785 [1,1,0.909091,0.888889,1,0.96,1,0.956522,0.869565]
f_measure
0.962817 [1,1,0.956522,0.96,1,1,0.909091,0.923077,0.916667]
f_measure
0.925923 [0.88,0.916667,0.96,0.869565,1,0.888889,0.909091,1,0.909091]
f_measure
0.945427 [0.96,0.956522,0.909091,0.857143,1,1,1,0.956522,0.869565]
f_measure
0.94601 [1,0.956522,1,0.869565,1,0.916667,0.956522,1,0.814815]
f_measure
0.963301 [1,1,0.956522,0.956522,0.96,0.88,1,1,0.916667]
kappa
0.927083
kappa
0.864583
kappa
0.96875
kappa
0.90625
kappa
0.947917
kappa
0.958333
kappa
0.916667
kappa
0.9375
kappa
0.9375
kappa
0.958333
kb_relative_information_score
100.624762
kb_relative_information_score
94.30313
kb_relative_information_score
104.839184
kb_relative_information_score
98.517552
kb_relative_information_score
102.731973
kb_relative_information_score
103.785579
kb_relative_information_score
99.571157
kb_relative_information_score
101.678368
kb_relative_information_score
101.678368
kb_relative_information_score
103.785579
mean_absolute_error
0.014403
mean_absolute_error
0.026749
mean_absolute_error
0.006173
mean_absolute_error
0.018519
mean_absolute_error
0.010288
mean_absolute_error
0.00823
mean_absolute_error
0.016461
mean_absolute_error
0.012346
mean_absolute_error
0.012346
mean_absolute_error
0.00823
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
0.940171 [1,1,0.769231,0.769231,1,0.923077,1,1,1]
precision
0.885633 [0.923077,1,1,0.75,1,0.714286,0.916667,1,0.666667]
precision
0.972934 [1,0.916667,1,1,1,1,1,0.923077,0.916667]
precision
0.917832 [1,0.923077,0.846154,0.818182,1,0.916667,1,0.923077,0.833333]
precision
0.95913 [1,1,1,0.8,1,0.923077,1,1,0.909091]
precision
0.966321 [1,1,1,0.923077,1,1,1,0.857143,0.916667]
precision
0.932776 [0.846154,0.916667,0.923077,0.909091,1,0.8,1,1,1]
precision
0.953574 [0.923077,1,1,0.75,1,1,1,1,0.909091]
precision
0.95101 [1,1,1,0.909091,1,0.916667,1,1,0.733333]
precision
0.9651 [1,1,1,1,0.923077,0.846154,1,1,0.916667]
predictive_accuracy
0.935185
predictive_accuracy
0.87963
predictive_accuracy
0.972222
predictive_accuracy
0.916667
predictive_accuracy
0.953704
predictive_accuracy
0.962963
predictive_accuracy
0.925926
predictive_accuracy
0.944444
predictive_accuracy
0.944444
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
0.935185 [1,0.916667,0.833333,0.833333,1,1,1,0.916667,0.916667]
recall
0.87963 [1,0.916667,0.916667,1,0.833333,0.833333,0.916667,1,0.5]
recall
0.972222 [1,0.916667,1,0.916667,1,1,1,1,0.916667]
recall
0.916667 [1,1,0.916667,0.75,1,0.916667,0.833333,1,0.833333]
recall
0.953704 [1,1,0.833333,1,1,1,1,0.916667,0.833333]
recall
0.962963 [1,1,0.916667,1,1,1,0.833333,1,0.916667]
recall
0.925926 [0.916667,0.916667,1,0.833333,1,1,0.833333,1,0.833333]
recall
0.944444 [1,0.916667,0.833333,1,1,1,1,0.916667,0.833333]
recall
0.944444 [1,0.916667,1,0.833333,1,0.916667,0.916667,1,0.916667]
recall
0.962963 [1,1,0.916667,0.916667,1,0.916667,1,1,0.916667]
relative_absolute_error
0.072917
relative_absolute_error
0.135417
relative_absolute_error
0.03125
relative_absolute_error
0.09375
relative_absolute_error
0.052083
relative_absolute_error
0.041667
relative_absolute_error
0.083333
relative_absolute_error
0.0625
relative_absolute_error
0.0625
relative_absolute_error
0.041667
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
0.120014
root_mean_squared_error
0.163551
root_mean_squared_error
0.078567
root_mean_squared_error
0.136083
root_mean_squared_error
0.10143
root_mean_squared_error
0.090722
root_mean_squared_error
0.1283
root_mean_squared_error
0.111111
root_mean_squared_error
0.111111
root_mean_squared_error
0.090722
root_relative_squared_error
0.381881
root_relative_squared_error
0.520416
root_relative_squared_error
0.25
root_relative_squared_error
0.433013
root_relative_squared_error
0.322749
root_relative_squared_error
0.288675
root_relative_squared_error
0.408248
root_relative_squared_error
0.353553
root_relative_squared_error
0.353553
root_relative_squared_error
0.288675
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