2297948
1856
Miguel Cachada
32
Supervised Classification
5920
weka.MultilayerPerceptron(8)
385773
weka.classifiers.functions.MultilayerPerceptron -- -L 0.3 -M 0.2 -N 100 -V 0 -S 0 -E 20 -H a -D
L
0.3
5920
M
0.2
5920
N
100
5920
V
0
5920
S
0
5920
E
20
5920
H
a
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
5551641
description
https://api.openml.org/data/download/5551641/weka_generated_run6767051406044339056.xml
-1
5551643
model_readable
https://api.openml.org/data/download/5551643/WekaModel_weka.classifiers.functions.MultilayerPerceptron6733119283291350633.model
-1
5551642
model_serialized
https://api.openml.org/data/download/5551642/WekaSerialized_weka.classifiers.functions.MultilayerPerceptron2088340164031747603.model
-1
5551644
predictions
https://api.openml.org/data/download/5551644/weka_generated_predictions7560146612027541244.arff
area_under_roc_curve
0.964823 [0.985842,0.995167,0.999208,0.996589,0.999554,0.672771,0.998869,0.995835,0.997565,0.994121]
average_cost
0
f_measure
0.937142 [0.976127,0.947687,0.98523,0.95386,0.963876,0.740785,0.948938,0.975221,0.957655,0.908448]
kappa
0.934382
kb_relative_information_score
9971.130219
mean_absolute_error
0.026095
mean_prior_absolute_error
0.179968
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.944867 [0.986595,0.936752,0.979275,0.920635,0.937965,0.99362,0.907519,0.985689,0.940585,0.851575]
predictive_accuracy
0.940957
prior_entropy
3.320774
recall
0.940957 [0.965879,0.95888,0.991259,0.989573,0.991259,0.590521,0.994318,0.964974,0.975355,0.97346]
relative_absolute_error
0.145
root_mean_prior_squared_error
0.299973
root_mean_squared_error
0.101165
root_relative_squared_error
0.337246
total_cost
0
area_under_roc_curve
0.961935 [0.992064,0.999617,0.999859,0.999904,0.999333,0.631409,0.999924,0.999733,0.999108,0.981341]
area_under_roc_curve
0.964742 [0.959002,0.998354,0.993194,0.992094,0.999235,0.701771,0.999943,0.999404,0.996289,0.996223]
area_under_roc_curve
0.961671 [0.987301,0.994158,0.999063,0.996417,0.999617,0.642014,0.999923,0.995135,0.997317,0.990262]
area_under_roc_curve
0.970755 [0.996482,0.992718,0.999599,0.991933,0.999629,0.736106,0.993849,0.99954,0.990414,0.99725]
area_under_roc_curve
0.963941 [0.981931,0.999434,0.999982,0.999667,0.99977,0.664643,0.999013,0.992635,0.997557,0.993398]
area_under_roc_curve
0.967044 [0.983587,0.997764,0.999982,0.999582,0.999903,0.698745,0.998707,0.985377,0.999751,0.997423]
area_under_roc_curve
0.967977 [0.982723,0.996384,0.99984,0.999268,0.999779,0.700488,0.999696,0.995823,0.999186,0.996685]
area_under_roc_curve
0.960558 [0.997613,0.988868,0.999813,0.999363,0.999804,0.61049,0.999268,0.999466,0.999496,0.997959]
area_under_roc_curve
0.961506 [0.991856,0.997836,0.999884,0.988196,0.999938,0.6286,0.999192,0.999225,0.995079,0.998432]
area_under_roc_curve
0.969819 [0.987212,0.988182,0.999973,0.999061,0.998531,0.724346,0.999819,0.993926,0.999316,0.996542]
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
0.937206 [0.960699,0.945607,0.987013,0.981132,0.978355,0.711656,0.963636,0.982759,0.976526,0.869565]
f_measure
0.940467 [0.963964,0.925,0.973913,0.967442,0.965517,0.786127,0.985915,0.960352,0.967742,0.900433]
f_measure
0.929456 [0.977974,0.939655,0.991379,0.945455,0.94958,0.699387,0.933333,0.959641,0.962617,0.919643]
f_measure
0.947178 [0.99115,0.939655,0.9869,0.945455,0.978166,0.804469,0.936937,0.973913,0.980769,0.923767]
f_measure
0.934789 [0.969432,0.961039,0.987013,0.963636,0.978541,0.72619,0.936937,0.986784,0.922374,0.899083]
f_measure
0.941083 [0.964286,0.969432,0.991228,0.958904,0.962343,0.752941,0.933333,0.977578,0.971963,0.9163]
f_measure
0.939404 [0.973451,0.965217,0.9869,0.958904,0.934959,0.760234,0.963303,0.96861,0.95283,0.919643]
f_measure
0.930857 [0.991228,0.946903,0.978166,0.959276,0.982609,0.666667,0.929825,0.986667,0.933333,0.9163]
f_measure
0.936871 [0.995595,0.953191,0.991228,0.928571,0.987013,0.703704,0.933921,0.977578,0.957346,0.921739]
f_measure
0.934042 [0.973214,0.931507,0.978723,0.931507,0.92623,0.781609,0.976526,0.977974,0.953704,0.898678]
kappa
0.935331
kappa
0.936348
kappa
0.927188
kappa
0.943373
kappa
0.932247
kappa
0.938318
kappa
0.936289
kappa
0.930231
kappa
0.93528
kappa
0.929211
kb_relative_information_score
995.009511
kb_relative_information_score
999.325573
kb_relative_information_score
990.526004
kb_relative_information_score
1003.145261
kb_relative_information_score
995.813158
kb_relative_information_score
1003.855302
kb_relative_information_score
1001.054778
kb_relative_information_score
990.795421
kb_relative_information_score
993.456186
kb_relative_information_score
998.149025
mean_absolute_error
0.026867
mean_absolute_error
0.026389
mean_absolute_error
0.027242
mean_absolute_error
0.02536
mean_absolute_error
0.025735
mean_absolute_error
0.02426
mean_absolute_error
0.025204
mean_absolute_error
0.027228
mean_absolute_error
0.026734
mean_absolute_error
0.025934
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
0.946732 [0.964912,0.904,0.982759,0.971963,0.965812,1,0.929825,0.966102,0.971963,0.806452]
precision
0.947591 [1,0.880952,0.973913,0.945455,0.949153,1,0.981308,0.964602,0.945946,0.832]
precision
0.938946 [0.991071,0.923729,0.982906,0.904348,0.91129,0.982759,0.875,0.990741,0.944954,0.872881]
precision
0.952327 [1,0.931624,0.982609,0.904348,0.982456,0.986301,0.888889,0.973913,0.990291,0.872881]
precision
0.942239 [0.965217,0.956897,0.974359,0.929825,0.966102,0.983871,0.888889,0.99115,0.885965,0.867257]
precision
0.949605 [0.981818,0.973684,0.991228,0.929204,0.927419,1,0.875,1,0.954128,0.852459]
precision
0.94708 [0.982143,0.956897,0.982609,0.929204,0.877863,1,0.9375,0.990826,0.943925,0.865546]
precision
0.943429 [0.991228,0.955357,0.973913,0.921739,0.974138,1,0.868852,1,0.882353,0.852459]
precision
0.947639 [1,0.92562,0.991228,0.881356,0.974359,1,0.876033,1,0.961905,0.854839]
precision
0.940904 [0.990909,0.971429,0.958333,0.894737,0.869231,0.985507,0.971963,0.982301,0.936364,0.842975]
predictive_accuracy
0.941818
predictive_accuracy
0.942727
predictive_accuracy
0.934486
predictive_accuracy
0.949045
predictive_accuracy
0.939035
predictive_accuracy
0.944495
predictive_accuracy
0.942675
predictive_accuracy
0.937216
predictive_accuracy
0.941765
predictive_accuracy
0.936306
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
0.941818 [0.956522,0.991228,0.991304,0.990476,0.991228,0.552381,1,1,0.981132,0.943396]
recall
0.942727 [0.930435,0.973684,0.973913,0.990476,0.982456,0.647619,0.990566,0.95614,0.990566,0.981132]
recall
0.934486 [0.965217,0.95614,1,0.990476,0.991228,0.542857,1,0.930435,0.980952,0.971698]
recall
0.949045 [0.982456,0.947826,0.991228,0.990476,0.973913,0.679245,0.990476,0.973913,0.971429,0.980952]
recall
0.939035 [0.973684,0.965217,1,1,0.991304,0.575472,0.990476,0.982456,0.961905,0.933333]
recall
0.944495 [0.947368,0.965217,0.991228,0.990566,1,0.603774,1,0.95614,0.990476,0.990476]
recall
0.942675 [0.964912,0.973684,0.991228,0.990566,1,0.613208,0.990566,0.947368,0.961905,0.980952]
recall
0.937216 [0.991228,0.938596,0.982456,1,0.991228,0.5,1,0.973684,0.990566,0.990476]
recall
0.941765 [0.991228,0.982456,0.991228,0.981132,1,0.542857,1,0.95614,0.95283,1]
recall
0.936306 [0.95614,0.894737,1,0.971429,0.991228,0.647619,0.981132,0.973684,0.971698,0.962264]
relative_absolute_error
0.149285
relative_absolute_error
0.14663
relative_absolute_error
0.151376
relative_absolute_error
0.140915
relative_absolute_error
0.142996
relative_absolute_error
0.134804
relative_absolute_error
0.140048
relative_absolute_error
0.151292
relative_absolute_error
0.148548
relative_absolute_error
0.144103
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
0.101638
root_mean_squared_error
0.099929
root_mean_squared_error
0.10567
root_mean_squared_error
0.097384
root_mean_squared_error
0.102454
root_mean_squared_error
0.097307
root_mean_squared_error
0.09955
root_mean_squared_error
0.103967
root_mean_squared_error
0.102693
root_mean_squared_error
0.100731
root_relative_squared_error
0.338822
root_relative_squared_error
0.333125
root_relative_squared_error
0.35227
root_relative_squared_error
0.324645
root_relative_squared_error
0.341545
root_relative_squared_error
0.324388
root_relative_squared_error
0.331861
root_relative_squared_error
0.346583
root_relative_squared_error
0.342335
root_relative_squared_error
0.3358
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