2298202
1856
Miguel Cachada
18
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
18
mfeat-morphological
https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff
-1
5552197
description
https://api.openml.org/data/download/5552197/weka_generated_run3279538435177985606.xml
-1
5552199
model_readable
https://api.openml.org/data/download/5552199/WekaModel_weka.classifiers.functions.MultilayerPerceptron2756047647951550060.model
-1
5552198
model_serialized
https://api.openml.org/data/download/5552198/WekaSerialized_weka.classifiers.functions.MultilayerPerceptron4187580247055976661.model
-1
5552200
predictions
https://api.openml.org/data/download/5552200/weka_generated_predictions7862431676551950998.arff
area_under_roc_curve
0.950779 [0.98845,0.992219,0.9481,0.894825,0.937747,0.941525,0.939501,0.956164,0.990481,0.918774]
average_cost
0
f_measure
0.67446 [0.992443,0.915663,0.683438,0.435045,0.56383,0.566038,0.619231,0.686499,0.979592,0.302817]
kappa
0.655
kb_relative_information_score
1163.573018
mean_absolute_error
0.116901
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.688604 [1,0.883721,0.588448,0.549618,0.602273,0.614035,0.503125,0.632911,1,0.511905]
predictive_accuracy
0.6895
prior_entropy
3.321928
recall
0.6895 [0.985,0.95,0.815,0.36,0.53,0.525,0.805,0.75,0.96,0.215]
relative_absolute_error
0.649449
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.220554
root_relative_squared_error
0.735181
total_cost
0
area_under_roc_curve
0.930028 [0.960278,0.985556,0.916389,0.845833,0.927222,0.935,0.977222,0.935556,1,0.817222]
area_under_roc_curve
0.958028 [1,0.996389,0.9475,0.932778,0.922222,0.941389,0.945694,0.959722,0.992222,0.942361]
area_under_roc_curve
0.9485 [0.958333,0.997778,0.975,0.931667,0.948056,0.904167,0.899306,0.953611,1,0.917083]
area_under_roc_curve
0.955375 [1,0.998611,0.920417,0.882778,0.953889,0.966667,0.940417,0.958056,0.994444,0.938472]
area_under_roc_curve
0.950306 [1,1,0.959444,0.852222,0.947222,0.935278,0.945833,0.942222,0.983333,0.9375]
area_under_roc_curve
0.962583 [1,0.993611,0.955556,0.929722,0.956667,0.936944,0.95375,0.964444,1,0.935139]
area_under_roc_curve
0.949278 [0.965833,0.994444,0.946111,0.911111,0.956667,0.941389,0.931806,0.957222,1,0.888194]
area_under_roc_curve
0.958861 [1,0.995556,0.974444,0.906111,0.940556,0.951667,0.932917,0.973056,0.966667,0.947639]
area_under_roc_curve
0.945944 [1,0.98,0.951667,0.893889,0.8875,0.944444,0.935556,0.956389,0.983333,0.926667]
area_under_roc_curve
0.958361 [1,0.980556,0.965833,0.894444,0.952778,0.953611,0.944861,0.969167,0.983611,0.93875]
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
0.684372 [0.974359,0.878049,0.636364,0.424242,0.6,0.594595,0.444444,0.625,1,0.666667]
f_measure
0.649647 [1,0.926829,0.612245,0.451613,0.5,0.444444,0.553191,0.680851,0.974359,0.352941]
f_measure
0.650577 [0.974359,0.909091,0.641509,0.540541,0.578947,0.457143,0.530612,0.666667,1,0.206897]
f_measure
0.695127 [1,0.904762,0.680851,0.457143,0.514286,0.722222,0.690909,0.636364,0.974359,0.37037]
f_measure
0.680922 [1,0.97561,0.697674,0.388889,0.594595,0.628571,0.642857,0.666667,0.974359,0.24]
f_measure
0.648087 [1,0.926829,0.727273,0.352941,0.451613,0.521739,0.677966,0.727273,1,0.095238]
f_measure
0.69881 [0.974359,0.863636,0.75,0.457143,0.615385,0.540541,0.703704,0.75,1,0.333333]
f_measure
0.66858 [1,0.926829,0.734694,0.451613,0.578947,0.529412,0.655738,0.765957,0.947368,0.095238]
f_measure
0.668398 [1,0.9,0.695652,0.482759,0.55814,0.702703,0.555556,0.666667,0.974359,0.148148]
f_measure
0.642397 [1,0.95,0.666667,0.333333,0.615385,0.526316,0.62069,0.684211,0.947368,0.08]
kappa
0.661111
kappa
0.622222
kappa
0.627778
kappa
0.677778
kappa
0.666667
kappa
0.65
kappa
0.688889
kappa
0.672222
kappa
0.65
kappa
0.633333
kb_relative_information_score
116.627041
kb_relative_information_score
118.276117
kb_relative_information_score
116.243344
kb_relative_information_score
115.921772
kb_relative_information_score
115.150615
kb_relative_information_score
118.308187
kb_relative_information_score
116.675834
kb_relative_information_score
117.939573
kb_relative_information_score
112.670277
kb_relative_information_score
115.760258
mean_absolute_error
0.1144
mean_absolute_error
0.115334
mean_absolute_error
0.11712
mean_absolute_error
0.117412
mean_absolute_error
0.117417
mean_absolute_error
0.116095
mean_absolute_error
0.117426
mean_absolute_error
0.116318
mean_absolute_error
0.119481
mean_absolute_error
0.118005
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.716724 [1,0.857143,0.583333,0.538462,0.6,0.647059,0.857143,0.535714,1,0.548387]
precision
0.662351 [1,0.904762,0.517241,0.636364,0.5625,0.5,0.481481,0.592593,1,0.428571]
precision
0.661277 [1,0.833333,0.515152,0.588235,0.611111,0.533333,0.448276,0.75,1,0.333333]
precision
0.724254 [1,0.863636,0.592593,0.533333,0.6,0.8125,0.542857,0.583333,1,0.714286]
precision
0.709388 [1,0.952381,0.652174,0.4375,0.647059,0.733333,0.5,0.571429,1,0.6]
precision
0.727739 [1,0.904762,0.666667,0.428571,0.636364,0.461538,0.512821,0.666667,1,1]
precision
0.749649 [1,0.791667,0.642857,0.533333,0.631579,0.588235,0.558824,0.75,1,1]
precision
0.757025 [1,0.904762,0.62069,0.636364,0.611111,0.642857,0.487805,0.666667,1,1]
precision
0.69065 [1,0.9,0.615385,0.777778,0.521739,0.764706,0.441176,0.6,1,0.285714]
precision
0.656245 [1,0.95,0.529412,0.5,0.631579,0.555556,0.473684,0.722222,1,0.2]
predictive_accuracy
0.695
predictive_accuracy
0.66
predictive_accuracy
0.665
predictive_accuracy
0.71
predictive_accuracy
0.7
predictive_accuracy
0.685
predictive_accuracy
0.72
predictive_accuracy
0.705
predictive_accuracy
0.685
predictive_accuracy
0.67
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
recall
0.695 [0.95,0.9,0.7,0.35,0.6,0.55,0.3,0.75,1,0.85]
recall
0.66 [1,0.95,0.75,0.35,0.45,0.4,0.65,0.8,0.95,0.3]
recall
0.665 [0.95,1,0.85,0.5,0.55,0.4,0.65,0.6,1,0.15]
recall
0.71 [1,0.95,0.8,0.4,0.45,0.65,0.95,0.7,0.95,0.25]
recall
0.7 [1,1,0.75,0.35,0.55,0.55,0.9,0.8,0.95,0.15]
recall
0.685 [1,0.95,0.8,0.3,0.35,0.6,1,0.8,1,0.05]
recall
0.72 [0.95,0.95,0.9,0.4,0.6,0.5,0.95,0.75,1,0.2]
recall
0.705 [1,0.95,0.9,0.35,0.55,0.45,1,0.9,0.9,0.05]
recall
0.685 [1,0.9,0.8,0.35,0.6,0.65,0.75,0.75,0.95,0.1]
recall
0.67 [1,0.95,0.9,0.25,0.6,0.5,0.9,0.65,0.9,0.05]
relative_absolute_error
0.635554
relative_absolute_error
0.640747
relative_absolute_error
0.650665
relative_absolute_error
0.652291
relative_absolute_error
0.652316
relative_absolute_error
0.644974
relative_absolute_error
0.652364
relative_absolute_error
0.646213
relative_absolute_error
0.663781
relative_absolute_error
0.655581
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
0.221608
root_mean_squared_error
0.2191
root_mean_squared_error
0.220721
root_mean_squared_error
0.220616
root_mean_squared_error
0.221308
root_mean_squared_error
0.21778
root_mean_squared_error
0.220491
root_mean_squared_error
0.218531
root_mean_squared_error
0.224203
root_mean_squared_error
0.221118
root_relative_squared_error
0.738693
root_relative_squared_error
0.730332
root_relative_squared_error
0.735735
root_relative_squared_error
0.735388
root_relative_squared_error
0.737695
root_relative_squared_error
0.725934
root_relative_squared_error
0.734969
root_relative_squared_error
0.728436
root_relative_squared_error
0.747344
root_relative_squared_error
0.737061
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