523979
64
Rafael Gomes Mantovani
9950
Supervised Classification
2608
classif.xyf(4)
3511
seed
1
2608
kind
Mersenne-Twister
2608
normal.kind
Inversion
2608
study_7
1515
micro-mass
https://www.openml.org/data/download/1593707/phpHyLSNF
-1
1797392
description
https://api.openml.org/data/download/1797392/file3565761e793f
-1
1797393
predictions
https://api.openml.org/data/download/1797393/file35656365859f
area_under_roc_curve
0.75362 [0.881766,0.763726,0.782681,0.740457,0.807066,0.78125,0.798483,0.655925,0.781122,0.744516,0.715835,0.785714,0.775508,0.541993,0.653322,0.742324,0.645678,0.845418,0.798185,0.776506]
average_cost
0
f_measure
0.552102 [0.733945,0.608696,0.681818,0.636364,0.461538,0.72,0.459459,0.181818,0.612245,0.571429,0.509804,0.727273,0.553846,0.114286,0.349206,0.5,0.353846,0.716981,0.705882,0.592593]
kappa
0.507043
kb_relative_information_score
298.621716
mean_absolute_error
0.04641
mean_prior_absolute_error
0.094115
number_of_instances
571 [50,26,52,29,14,16,26,11,26,24,29,21,31,18,32,31,60,27,20,28]
precision
0.602287 [0.677966,0.7,0.833333,0.933333,0.36,1,0.354167,0.121212,0.652174,0.666667,0.590909,1,0.529412,0.117647,0.354839,0.484848,0.328571,0.730769,0.857143,0.615385]
predictive_accuracy
0.535902
prior_entropy
4.20799
recall
0.535902 [0.8,0.538462,0.576923,0.482759,0.642857,0.5625,0.653846,0.363636,0.576923,0.5,0.448276,0.571429,0.580645,0.111111,0.34375,0.516129,0.383333,0.703704,0.6,0.571429]
relative_absolute_error
0.493116
root_mean_prior_squared_error
0.216893
root_mean_squared_error
0.215429
root_relative_squared_error
0.99325
total_cost
0
usercpu_time_millis
267.899
usercpu_time_millis_testing
0.26600000000002
usercpu_time_millis_training
267.633
area_under_roc_curve
0.762308 [1,0.657576,0.790566,0.75,0.919643,1,0.5,0.5,0.491071,0.666667,0.824242,1,0.865741,0.491071,0.472222,0.824242,0.711538,0.990909,0.75,0.815152]
area_under_roc_curve
0.788263 [0.880769,0.657407,0.8,0.833333,0.9375,1,0.75,1,0.981481,0.666667,0.833333,0.5,0.990741,0.490909,0.962963,0.824074,0.656863,0.824074,0.75,0.648148]
area_under_roc_curve
0.812914 [0.790385,0.981481,0.8,0.833333,1,1,0.945455,1,0.990741,0.75,0.833333,0.833333,0.990741,0.490909,0.666667,0.638889,0.617647,1,1,0.666667]
area_under_roc_curve
0.733404 [0.8,0.666667,0.666667,0.833333,0.5,0.75,0.9,0.5,1,1,0.648148,0.75,0.481481,0.973214,0.787037,0.5,0.647059,0.824074,0.740909,0.814815]
area_under_roc_curve
0.743697 [0.9,0.666667,0.656863,0.657407,0.5,0.75,1,0.875,0.5,0.981818,0.648148,0.75,0.648148,0.5,0.657407,0.833333,0.720588,0.990909,0.75,0.824074]
area_under_roc_curve
0.744619 [0.875,0.833333,0.980769,0.5,1,0.5,0.666667,0.5,0.657407,0.731818,0.5,0.75,0.805556,0.5,0.657407,0.972222,0.573529,0.75,0.990909,1]
area_under_roc_curve
0.70688 [0.8,0.740909,0.8,0.833333,0.5,0.5,0.981481,0.5,0.824074,0.490909,0.648148,1,0.648148,0.463636,0.666667,0.606132,0.705882,0.731818,0.5,0.657407]
area_under_roc_curve
0.734878 [1,0.75,0.7,1,0.75,1,0.666667,0.5,0.75,0.740909,0.490909,0.75,0.648148,0.481818,0.62963,0.62037,0.54902,0.833333,1,0.824074]
area_under_roc_curve
0.803714 [0.9,0.990909,0.8,0.666667,1,1,0.888889,0.5,0.740909,0.833333,0.833333,1,0.990741,0.5,0.657407,0.833333,0.710784,0.824074,0.5,0.75]
area_under_roc_curve
0.706461 [0.871154,0.75,0.880769,0.5,0.75,0.5,0.666667,0.866071,0.740909,0.666667,0.824074,0.5,0.657407,0.722727,0.490566,0.814815,0.563725,0.666667,1,0.740909]
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
0.540868 [1,0.4,0.666667,0.666667,0.307692,1,0,0,0,0.5,0.666667,1,0.75,0,0,0.666667,0.461538,0.857143,0.666667,0.571429]
f_measure
0.597603 [0.727273,0.4,0.75,0.8,0.222222,1,0.666667,1,0.75,0.5,0.8,0,0.857143,0,0.6,0.666667,0.444444,0.666667,0.666667,0.333333]
f_measure
0.65812 [0.666667,0.75,0.75,0.8,1,1,0.4,1,0.857143,0.666667,0.8,0.8,0.857143,0,0.5,0.285714,0.307692,1,1,0.5]
f_measure
0.501128 [0.75,0.5,0.5,0.8,0,0.666667,0.266667,0,1,1,0.333333,0.666667,0,0.4,0.4,0,0.4,0.666667,0.5,0.571429]
f_measure
0.534552 [0.888889,0.5,0.444444,0.4,0,0.666667,1,0.125,0,0.666667,0.333333,0.666667,0.333333,0,0.4,0.8,0.5,0.8,0.666667,0.666667]
f_measure
0.468548 [0.434783,0.8,0.833333,0,1,0,0.5,0,0.4,0.4,0,0.666667,0.5,0,0.4,0.666667,0.25,0.666667,0.8,1]
f_measure
0.454032 [0.75,0.5,0.75,0.8,0,0,0.75,0,0.666667,0,0.333333,1,0.333333,0,0.5,0.285714,0.347826,0.4,0,0.4]
f_measure
0.538722 [1,0.666667,0.571429,1,0.666667,1,0.5,0,0.666667,0.5,0,0.666667,0.333333,0,0.25,0.222222,0.2,0.8,1,0.666667]
f_measure
0.638043 [0.888889,0.8,0.75,0.5,1,1,0.333333,0,0.5,0.8,0.8,1,0.857143,0,0.4,0.8,0.461538,0.666667,0,0.666667]
f_measure
0.441549 [0.666667,0.666667,0.727273,0,0.666667,0,0.5,0.117647,0.5,0.5,0.666667,0,0.4,0.333333,0,0.571429,0.222222,0.5,1,0.5]
kappa
0.523237
kappa
0.57352
kappa
0.627573
kappa
0.463486
kappa
0.482322
kappa
0.492414
kappa
0.415675
kappa
0.474135
kappa
0.608183
kappa
0.408944
kb_relative_information_score
31.048842
kb_relative_information_score
33.417699
kb_relative_information_score
37.235307
kb_relative_information_score
27.4722
kb_relative_information_score
28.172821
kb_relative_information_score
28.712642
kb_relative_information_score
24.267342
kb_relative_information_score
28.42237
kb_relative_information_score
35.641575
kb_relative_information_score
24.23092
mean_absolute_error
0.044828
mean_absolute_error
0.040351
mean_absolute_error
0.035088
mean_absolute_error
0.050877
mean_absolute_error
0.049123
mean_absolute_error
0.047368
mean_absolute_error
0.054386
mean_absolute_error
0.049123
mean_absolute_error
0.036842
mean_absolute_error
0.05614
mean_prior_absolute_error
0.094136
mean_prior_absolute_error
0.094102
mean_prior_absolute_error
0.09411
mean_prior_absolute_error
0.094024
mean_prior_absolute_error
0.094027
mean_prior_absolute_error
0.094128
mean_prior_absolute_error
0.094113
mean_prior_absolute_error
0.094214
mean_prior_absolute_error
0.094173
mean_prior_absolute_error
0.094125
number_of_instances
58 [5,3,5,2,2,1,2,1,2,3,3,2,4,2,4,3,6,3,2,3]
number_of_instances
57 [5,3,5,3,1,1,2,1,3,3,3,2,3,2,3,3,6,3,2,3]
number_of_instances
57 [5,3,5,3,1,1,2,1,3,2,3,3,3,2,3,3,6,3,2,3]
number_of_instances
57 [5,3,6,3,1,2,2,1,3,2,3,2,3,1,3,3,6,3,2,3]
number_of_instances
57 [5,3,6,3,1,2,3,1,3,2,3,2,3,1,3,3,6,2,2,3]
number_of_instances
57 [5,3,5,3,1,2,3,1,3,2,3,2,3,2,3,3,6,2,2,3]
number_of_instances
57 [5,2,5,3,1,2,3,1,3,2,3,2,3,2,3,4,6,2,2,3]
number_of_instances
57 [5,2,5,3,2,2,3,2,2,2,2,2,3,2,3,3,6,3,2,3]
number_of_instances
57 [5,2,5,3,2,2,3,1,2,3,3,2,3,2,3,3,6,3,2,2]
number_of_instances
57 [5,2,5,3,2,1,3,1,2,3,3,2,3,2,4,3,6,3,2,2]
precision
0.585087 [1,0.5,0.75,1,0.181818,1,0,0,0,1,0.666667,1,0.75,0,0,0.666667,0.428571,0.75,1,0.5]
precision
0.689369 [0.666667,0.5,1,1,0.125,1,1,1,0.6,1,1,0,0.75,0,0.428571,0.666667,0.666667,0.666667,1,0.333333]
precision
0.754637 [0.75,0.6,1,1,1,1,0.25,1,0.75,1,1,1,0.75,0,1,0.25,0.285714,1,1,1]
precision
0.630085 [1,1,1,1,0,1,0.153846,0,1,1,0.333333,1,0,0.25,0.285714,0,0.5,0.666667,0.5,0.5]
precision
0.638596 [1,1,0.666667,0.5,0,1,1,0.066667,0,0.5,0.333333,1,0.333333,0,0.5,1,0.5,0.666667,1,0.666667]
precision
0.520356 [0.277778,1,0.714286,0,1,0,1,0,0.5,0.333333,0,1,0.4,0,0.5,0.5,0.5,1,0.666667,1]
precision
0.521259 [1,0.5,1,1,0,0,0.6,0,0.666667,0,0.333333,1,0.333333,0,1,0.333333,0.235294,0.333333,0,0.5]
precision
0.648371 [1,1,1,1,1,1,1,0,1,0.5,0,1,0.333333,0,0.2,0.166667,0.142857,1,1,0.666667]
precision
0.723768 [1,0.666667,1,1,1,1,0.2,0,0.5,1,1,1,0.75,0,0.5,1,0.428571,0.666667,0,1]
precision
0.539526 [0.571429,1,0.666667,0,1,0,1,0.0625,0.5,1,0.666667,0,0.5,0.25,0,0.5,0.333333,1,1,0.5]
predictive_accuracy
0.551724
predictive_accuracy
0.596491
predictive_accuracy
0.649123
predictive_accuracy
0.491228
predictive_accuracy
0.508772
predictive_accuracy
0.526316
predictive_accuracy
0.45614
predictive_accuracy
0.508772
predictive_accuracy
0.631579
predictive_accuracy
0.438596
prior_entropy
4.20799
prior_entropy
4.20799
prior_entropy
4.20799
prior_entropy
4.20799
prior_entropy
4.20799
prior_entropy
4.20799
prior_entropy
4.20799
prior_entropy
4.20799
prior_entropy
4.20799
prior_entropy
4.20799
recall
0.551724 [1,0.333333,0.6,0.5,1,1,0,0,0,0.333333,0.666667,1,0.75,0,0,0.666667,0.5,1,0.5,0.666667]
recall
0.596491 [0.8,0.333333,0.6,0.666667,1,1,0.5,1,1,0.333333,0.666667,0,1,0,1,0.666667,0.333333,0.666667,0.5,0.333333]
recall
0.649123 [0.6,1,0.6,0.666667,1,1,1,1,1,0.5,0.666667,0.666667,1,0,0.333333,0.333333,0.333333,1,1,0.333333]
recall
0.491228 [0.6,0.333333,0.333333,0.666667,0,0.5,1,0,1,1,0.333333,0.5,0,1,0.666667,0,0.333333,0.666667,0.5,0.666667]
recall
0.508772 [0.8,0.333333,0.333333,0.333333,0,0.5,1,1,0,1,0.333333,0.5,0.333333,0,0.333333,0.666667,0.5,1,0.5,0.666667]
recall
0.526316 [1,0.666667,1,0,1,0,0.333333,0,0.333333,0.5,0,0.5,0.666667,0,0.333333,1,0.166667,0.5,1,1]
recall
0.45614 [0.6,0.5,0.6,0.666667,0,0,1,0,0.666667,0,0.333333,1,0.333333,0,0.333333,0.25,0.666667,0.5,0,0.333333]
recall
0.508772 [1,0.5,0.4,1,0.5,1,0.333333,0,0.5,0.5,0,0.5,0.333333,0,0.333333,0.333333,0.333333,0.666667,1,0.666667]
recall
0.631579 [0.8,1,0.6,0.333333,1,1,1,0,0.5,0.666667,0.666667,1,1,0,0.333333,0.666667,0.5,0.666667,0,0.5]
recall
0.438596 [0.8,0.5,0.8,0,0.5,0,0.333333,1,0.5,0.333333,0.666667,0,0.333333,0.5,0,0.666667,0.166667,0.333333,1,0.5]
relative_absolute_error
0.476199
relative_absolute_error
0.428801
relative_absolute_error
0.372835
relative_absolute_error
0.541106
relative_absolute_error
0.522431
relative_absolute_error
0.503233
relative_absolute_error
0.577877
relative_absolute_error
0.521394
relative_absolute_error
0.391218
relative_absolute_error
0.596443
root_mean_prior_squared_error
0.216941
root_mean_prior_squared_error
0.216861
root_mean_prior_squared_error
0.216882
root_mean_prior_squared_error
0.216683
root_mean_prior_squared_error
0.21669
root_mean_prior_squared_error
0.216923
root_mean_prior_squared_error
0.216889
root_mean_prior_squared_error
0.217121
root_mean_prior_squared_error
0.217026
root_mean_prior_squared_error
0.216916
root_mean_squared_error
0.211725
root_mean_squared_error
0.200875
root_mean_squared_error
0.187317
root_mean_squared_error
0.22556
root_mean_squared_error
0.221637
root_mean_squared_error
0.217643
root_mean_squared_error
0.233208
root_mean_squared_error
0.221637
root_mean_squared_error
0.191943
root_mean_squared_error
0.23694
root_relative_squared_error
0.975957
root_relative_squared_error
0.926284
root_relative_squared_error
0.863683
root_relative_squared_error
1.040964
root_relative_squared_error
1.022827
root_relative_squared_error
1.003318
root_relative_squared_error
1.075242
root_relative_squared_error
1.020796
root_relative_squared_error
0.884425
root_relative_squared_error
1.092309
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