2298242
1856
Miguel Cachada
32
Supervised Classification
5920
weka.MultilayerPerceptron(8)
385896
weka.classifiers.functions.MultilayerPerceptron -- -L 0.3 -M 0.2 -N 100 -V 0 -S 0 -E 20 -H o -D
L
0.3
5920
M
0.2
5920
N
100
5920
V
0
5920
S
0
5920
E
20
5920
H
o
5920
D
true
5920
study_70
weka
weka_3.8.1
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
5552283
description
https://api.openml.org/data/download/5552283/weka_generated_run4445026457865398043.xml
-1
5552285
model_readable
https://api.openml.org/data/download/5552285/WekaModel_weka.classifiers.functions.MultilayerPerceptron1374813326613469375.model
-1
5552284
model_serialized
https://api.openml.org/data/download/5552284/WekaSerialized_weka.classifiers.functions.MultilayerPerceptron325547405774483309.model
-1
5552286
predictions
https://api.openml.org/data/download/5552286/weka_generated_predictions2324355818609940835.arff
area_under_roc_curve
0.962812 [0.990605,0.978463,0.998315,0.99574,0.999396,0.675541,0.998786,0.994305,0.99224,0.992396]
average_cost
0
f_measure
0.924689 [0.968366,0.910326,0.973513,0.929401,0.975484,0.736471,0.929677,0.974812,0.953333,0.880519]
kappa
0.919931
kb_relative_information_score
9822.107491
mean_absolute_error
0.029183
mean_prior_absolute_error
0.179968
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.933124 [0.972639,0.943662,0.967213,0.879121,0.960203,0.970543,0.872199,0.983943,0.957895,0.810359]
predictive_accuracy
0.927948
prior_entropy
3.320774
recall
0.927948 [0.964129,0.879265,0.979895,0.985782,0.991259,0.593365,0.995265,0.965849,0.948815,0.963981]
relative_absolute_error
0.162154
root_mean_prior_squared_error
0.299973
root_mean_squared_error
0.11131
root_relative_squared_error
0.371066
total_cost
0
area_under_roc_curve
0.963541 [0.993008,0.981833,0.999885,0.998947,0.99734,0.672922,0.999715,0.998496,0.992246,0.986447]
area_under_roc_curve
0.963654 [0.968793,0.958249,0.993785,0.992659,0.999448,0.733295,0.999715,0.992509,0.995596,0.993129]
area_under_roc_curve
0.960696 [0.994963,0.988672,0.999302,0.994433,0.999706,0.643969,0.999693,0.994256,0.989968,0.985878]
area_under_roc_curve
0.970029 [0.994363,0.986338,0.999314,0.991885,0.999258,0.73326,0.994577,0.995405,0.998927,0.997873]
area_under_roc_curve
0.959323 [0.990017,0.981752,0.998709,0.997729,0.998931,0.660387,0.999339,0.99081,0.976737,0.986692]
area_under_roc_curve
0.961485 [0.987951,0.975296,0.999947,0.999173,0.999956,0.666752,0.996215,0.984745,0.999377,0.995343]
area_under_roc_curve
0.964386 [0.987354,0.975857,0.999047,0.998071,0.999797,0.693928,0.999553,0.995939,0.990447,0.993782]
area_under_roc_curve
0.956853 [0.999305,0.984215,0.997774,0.992656,0.999644,0.589751,0.999629,0.998611,0.999031,0.993523]
area_under_roc_curve
0.958833 [0.993739,0.979036,0.997702,0.992699,1,0.629233,0.999401,0.99862,0.988067,0.993521]
area_under_roc_curve
0.968013 [0.994915,0.971293,0.998038,0.997068,0.999653,0.722459,0.99962,0.994862,0.995193,0.995744]
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
0.919735 [0.947826,0.920354,0.982906,0.949309,0.969957,0.707317,0.963636,0.978166,0.92823,0.831933]
f_measure
0.927085 [0.951111,0.9,0.969432,0.949772,0.961702,0.786127,0.963303,0.96,0.949309,0.870293]
f_measure
0.922208 [0.965517,0.941176,0.991379,0.941176,0.969697,0.707317,0.913043,0.968889,0.933962,0.869565]
f_measure
0.939277 [0.973451,0.91453,0.973684,0.95814,0.982759,0.804469,0.958525,0.968889,0.957346,0.891775]
f_measure
0.914702 [0.964912,0.899083,0.95279,0.925764,0.978355,0.701149,0.932735,0.982301,0.941748,0.852174]
f_measure
0.930173 [0.977974,0.914027,0.982301,0.920354,0.9869,0.752941,0.87395,0.977778,0.981132,0.919643]
f_measure
0.925862 [0.969163,0.90566,0.969957,0.933333,0.962343,0.751445,0.917749,0.977778,0.956522,0.902655]
f_measure
0.921017 [0.9869,0.912442,0.969432,0.889831,0.991304,0.666667,0.929825,0.982456,0.985782,0.877193]
f_measure
0.923693 [0.986784,0.914027,0.978355,0.907489,0.991304,0.695122,0.917749,0.969163,0.961538,0.896552]
f_measure
0.923215 [0.96,0.880734,0.964912,0.923767,0.961702,0.779661,0.933333,0.982456,0.937198,0.896552]
kappa
0.915128
kappa
0.921202
kappa
0.918093
kappa
0.934273
kappa
0.909
kappa
0.925183
kappa
0.921131
kappa
0.9181
kappa
0.920116
kappa
0.917086
kb_relative_information_score
981.073554
kb_relative_information_score
984.761385
kb_relative_information_score
975.385212
kb_relative_information_score
997.919919
kb_relative_information_score
974.038907
kb_relative_information_score
985.32229
kb_relative_information_score
983.386135
kb_relative_information_score
979.212724
kb_relative_information_score
980.205009
kb_relative_information_score
980.802355
mean_absolute_error
0.029441
mean_absolute_error
0.028841
mean_absolute_error
0.030568
mean_absolute_error
0.026733
mean_absolute_error
0.03016
mean_absolute_error
0.02857
mean_absolute_error
0.028695
mean_absolute_error
0.029337
mean_absolute_error
0.029733
mean_absolute_error
0.029746
mean_prior_absolute_error
0.179968
mean_prior_absolute_error
0.179968
mean_prior_absolute_error
0.179966
mean_prior_absolute_error
0.179966
mean_prior_absolute_error
0.179967
mean_prior_absolute_error
0.179967
mean_prior_absolute_error
0.179969
mean_prior_absolute_error
0.17997
mean_prior_absolute_error
0.17997
mean_prior_absolute_error
0.179969
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1099 [115,114,115,105,114,105,105,115,105,106]
number_of_instances
1099 [114,115,114,105,115,106,105,115,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,114,114,106,115,106,106,114,105,105]
number_of_instances
1099 [114,114,114,106,114,106,106,114,106,105]
number_of_instances
1099 [114,114,114,106,114,105,106,114,106,106]
number_of_instances
1099 [114,114,115,105,114,105,106,114,106,106]
precision
0.929945 [0.947826,0.928571,0.966387,0.919643,0.94958,0.983051,0.929825,0.973913,0.941748,0.75]
precision
0.935548 [0.972727,0.933962,0.973684,0.912281,0.933884,1,0.9375,0.972973,0.927928,0.781955]
precision
0.932846 [0.957265,0.971963,0.982906,0.896552,0.957265,0.983051,0.84,0.990909,0.925234,0.806452]
precision
0.945059 [0.982143,0.89916,0.973684,0.936364,0.974359,0.986301,0.928571,0.990909,0.95283,0.81746]
precision
0.921659 [0.964912,0.951456,0.932773,0.861789,0.974138,0.897059,0.881356,0.991071,0.960396,0.784]
precision
0.941232 [0.982301,0.95283,0.991071,0.866667,0.991228,1,0.781955,0.990991,0.971963,0.865546]
precision
0.93467 [0.973451,0.979592,0.94958,0.882353,0.927419,0.970149,0.848,0.990991,0.970588,0.842975]
precision
0.933525 [0.982609,0.961165,0.965217,0.807692,0.982759,0.964286,0.868852,0.982456,0.990476,0.813008]
precision
0.934197 [0.99115,0.943925,0.965812,0.85124,0.982759,0.966102,0.848,0.973451,0.980392,0.825397]
precision
0.929627 [0.972973,0.923077,0.973451,0.872881,0.933884,0.958333,0.882353,0.982456,0.960396,0.825397]
predictive_accuracy
0.923636
predictive_accuracy
0.929091
predictive_accuracy
0.926297
predictive_accuracy
0.940855
predictive_accuracy
0.918107
predictive_accuracy
0.932666
predictive_accuracy
0.929026
predictive_accuracy
0.926297
predictive_accuracy
0.928116
predictive_accuracy
0.925387
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
recall
0.923636 [0.947826,0.912281,1,0.980952,0.991228,0.552381,1,0.982456,0.915094,0.933962]
recall
0.929091 [0.930435,0.868421,0.965217,0.990476,0.991228,0.647619,0.990566,0.947368,0.971698,0.981132]
recall
0.926297 [0.973913,0.912281,1,0.990476,0.982456,0.552381,1,0.947826,0.942857,0.943396]
recall
0.940855 [0.964912,0.930435,0.973684,0.980952,0.991304,0.679245,0.990476,0.947826,0.961905,0.980952]
recall
0.918107 [0.964912,0.852174,0.973684,1,0.982609,0.575472,0.990476,0.973684,0.92381,0.933333]
recall
0.932666 [0.973684,0.878261,0.973684,0.981132,0.982609,0.603774,0.990476,0.964912,0.990476,0.980952]
recall
0.929026 [0.964912,0.842105,0.991228,0.990566,1,0.613208,1,0.964912,0.942857,0.971429]
recall
0.926297 [0.991228,0.868421,0.973684,0.990566,1,0.509434,1,0.982456,0.981132,0.952381]
recall
0.928116 [0.982456,0.885965,0.991228,0.971698,1,0.542857,1,0.964912,0.943396,0.981132]
recall
0.925387 [0.947368,0.842105,0.956522,0.980952,0.991228,0.657143,0.990566,0.982456,0.915094,0.981132]
relative_absolute_error
0.16359
relative_absolute_error
0.160256
relative_absolute_error
0.169857
relative_absolute_error
0.148546
relative_absolute_error
0.167587
relative_absolute_error
0.15875
relative_absolute_error
0.159445
relative_absolute_error
0.163012
relative_absolute_error
0.165212
relative_absolute_error
0.165286
root_mean_prior_squared_error
0.299973
root_mean_prior_squared_error
0.299973
root_mean_prior_squared_error
0.29997
root_mean_prior_squared_error
0.29997
root_mean_prior_squared_error
0.299972
root_mean_prior_squared_error
0.299972
root_mean_prior_squared_error
0.299974
root_mean_prior_squared_error
0.299977
root_mean_prior_squared_error
0.299977
root_mean_prior_squared_error
0.299974
root_mean_squared_error
0.112919
root_mean_squared_error
0.110475
root_mean_squared_error
0.114573
root_mean_squared_error
0.100647
root_mean_squared_error
0.11742
root_mean_squared_error
0.108907
root_mean_squared_error
0.111532
root_mean_squared_error
0.113
root_mean_squared_error
0.111539
root_mean_squared_error
0.111306
root_relative_squared_error
0.376431
root_relative_squared_error
0.368284
root_relative_squared_error
0.38195
root_relative_squared_error
0.335525
root_relative_squared_error
0.391438
root_relative_squared_error
0.363056
root_relative_squared_error
0.371806
root_relative_squared_error
0.376694
root_relative_squared_error
0.371827
root_relative_squared_error
0.371051
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