2291571
1856
Miguel Cachada
22
Supervised Classification
5920
weka.MultilayerPerceptron(8)
372424
weka.classifiers.functions.MultilayerPerceptron -- -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H o -D
L
0.3
5920
M
0.2
5920
N
500
5920
V
0
5920
S
0
5920
E
20
5920
H
o
5920
D
true
5920
weka
weka_3.8.1
22
mfeat-zernike
https://www.openml.org/data/download/22/dataset_22_mfeat-zernike.arff
-1
5538791
description
https://www.openml.org/data/download/5538791/weka_generated_run1957157507029935611.xml
-1
5538793
model_readable
https://www.openml.org/data/download/5538793/WekaModel_weka.classifiers.functions.MultilayerPerceptron7626528021205588954.model
-1
5538792
model_serialized
https://www.openml.org/data/download/5538792/WekaSerialized_weka.classifiers.functions.MultilayerPerceptron4814532130140221598.model
-1
5538794
predictions
https://www.openml.org/data/download/5538794/weka_generated_predictions2385871383438991540.arff
area_under_roc_curve
0.973125 [0.997658,0.997556,0.997794,0.981844,0.995728,0.935167,0.915794,0.996669,0.989287,0.923753]
average_cost
0
f_measure
0.800265 [0.972431,0.92233,0.928747,0.857855,0.921986,0.778378,0.216028,0.94321,0.925301,0.536383]
kappa
0.792778
kb_relative_information_score
1515.420604
mean_absolute_error
0.073289
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.800149 [0.974874,0.896226,0.913043,0.855721,0.874439,0.847059,0.356322,0.931707,0.893023,0.459075]
predictive_accuracy
0.8135
prior_entropy
3.321928
recall
0.8135 [0.97,0.95,0.945,0.86,0.975,0.72,0.155,0.955,0.96,0.645]
relative_absolute_error
0.40716
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.162986
root_relative_squared_error
0.543288
total_cost
0
area_under_roc_curve
0.968778 [0.986389,0.990833,0.999444,0.978056,0.998056,0.9425,0.903889,0.996667,0.952778,0.939167]
area_under_roc_curve
0.975639 [1,0.998889,0.996389,0.955278,0.998611,0.942222,0.929583,0.9975,1,0.937917]
area_under_roc_curve
0.978361 [1,0.996944,1,0.993889,0.996944,0.959444,0.943194,0.985,1,0.908194]
area_under_roc_curve
0.973972 [0.993333,0.998889,0.999444,0.987778,0.998056,0.958611,0.919028,1,0.999444,0.885139]
area_under_roc_curve
0.977986 [1,1,0.998611,0.963611,1,0.968889,0.915417,0.997778,0.999167,0.936389]
area_under_roc_curve
0.973667 [1,0.998889,0.998056,0.988333,0.995556,0.936111,0.908194,0.994167,0.997222,0.920139]
area_under_roc_curve
0.975722 [1,0.996944,1,0.998333,0.999444,0.9225,0.926806,1,0.999444,0.91375]
area_under_roc_curve
0.970139 [1,0.998333,0.998056,0.991944,0.998056,0.918611,0.907361,0.999167,0.95,0.939861]
area_under_roc_curve
0.972472 [0.999167,0.997778,0.994444,0.968611,0.993889,0.897222,0.932778,0.998889,0.998611,0.943333]
area_under_roc_curve
0.964444 [0.9975,1,0.996667,0.986389,0.983056,0.905833,0.870417,0.997778,0.995278,0.911528]
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
0.787777 [0.974359,0.883721,0.974359,0.820513,0.952381,0.789474,0.263158,0.930233,0.857143,0.432432]
f_measure
0.8111 [1,0.952381,0.926829,0.894737,0.974359,0.833333,0.071429,0.95,0.952381,0.555556]
f_measure
0.834019 [1,0.926829,0.947368,0.904762,0.97561,0.878049,0.30303,0.95,1,0.454545]
f_measure
0.796095 [0.95,0.9,0.904762,0.9,0.930233,0.742857,0.153846,1,0.930233,0.54902]
f_measure
0.809512 [0.97561,0.926829,0.952381,0.780488,0.952381,0.722222,0.333333,0.923077,0.97561,0.553191]
f_measure
0.778936 [1,0.95,0.904762,0.857143,0.878049,0.742857,0.166667,0.857143,0.883721,0.54902]
f_measure
0.819636 [1,0.857143,1,0.878049,0.909091,0.842105,0.16,0.97561,0.974359,0.6]
f_measure
0.781994 [0.952381,0.926829,0.923077,0.820513,0.883721,0.777778,0.090909,0.95,0.894737,0.6]
f_measure
0.784957 [0.95,0.95,0.857143,0.85,0.869565,0.722222,0.285714,0.926829,0.904762,0.533333]
f_measure
0.785243 [0.918919,0.952381,0.904762,0.871795,0.904762,0.717949,0.242424,0.974359,0.888889,0.47619]
kappa
0.772222
kappa
0.805556
kappa
0.822222
kappa
0.794444
kappa
0.8
kappa
0.777778
kappa
0.822222
kappa
0.783333
kappa
0.777778
kappa
0.772222
kb_relative_information_score
148.384985
kb_relative_information_score
154.915175
kb_relative_information_score
156.610441
kb_relative_information_score
151.539168
kb_relative_information_score
150.561151
kb_relative_information_score
148.279976
kb_relative_information_score
155.110934
kb_relative_information_score
153.20954
kb_relative_information_score
149.520119
kb_relative_information_score
147.289115
mean_absolute_error
0.077342
mean_absolute_error
0.070434
mean_absolute_error
0.069525
mean_absolute_error
0.072859
mean_absolute_error
0.07515
mean_absolute_error
0.075117
mean_absolute_error
0.070402
mean_absolute_error
0.071633
mean_absolute_error
0.074289
mean_absolute_error
0.076138
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
0.784673 [1,0.826087,1,0.842105,0.909091,0.833333,0.277778,0.869565,0.818182,0.470588]
precision
0.812106 [1,0.909091,0.904762,0.944444,1,0.9375,0.125,0.95,0.909091,0.441176]
precision
0.83292 [1,0.904762,1,0.863636,0.952381,0.857143,0.384615,0.95,1,0.416667]
precision
0.800438 [0.95,0.9,0.863636,0.9,0.869565,0.866667,0.333333,1,0.869565,0.451613]
precision
0.813096 [0.952381,0.904762,0.909091,0.761905,0.909091,0.8125,0.5,0.947368,0.952381,0.481481]
precision
0.795151 [1,0.95,0.863636,0.818182,0.857143,0.866667,0.5,0.818182,0.826087,0.451613]
precision
0.824993 [1,0.818182,1,0.857143,0.833333,0.888889,0.4,0.952381,1,0.5]
precision
0.814886 [0.909091,0.904762,0.947368,0.842105,0.826087,0.875,0.5,0.95,0.944444,0.45]
precision
0.789831 [0.95,0.95,0.818182,0.85,0.769231,0.8125,0.5,0.904762,0.863636,0.48]
precision
0.783018 [1,0.909091,0.863636,0.894737,0.863636,0.736842,0.307692,1,0.8,0.454545]
predictive_accuracy
0.795
predictive_accuracy
0.825
predictive_accuracy
0.84
predictive_accuracy
0.815
predictive_accuracy
0.82
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.805
predictive_accuracy
0.8
predictive_accuracy
0.795
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
0.795 [0.95,0.95,0.95,0.8,1,0.75,0.25,1,0.9,0.4]
recall
0.825 [1,1,0.95,0.85,0.95,0.75,0.05,0.95,1,0.75]
recall
0.84 [1,0.95,0.9,0.95,1,0.9,0.25,0.95,1,0.5]
recall
0.815 [0.95,0.9,0.95,0.9,1,0.65,0.1,1,1,0.7]
recall
0.82 [1,0.95,1,0.8,1,0.65,0.25,0.9,1,0.65]
recall
0.8 [1,0.95,0.95,0.9,0.9,0.65,0.1,0.9,0.95,0.7]
recall
0.84 [1,0.9,1,0.9,1,0.8,0.1,1,0.95,0.75]
recall
0.805 [1,0.95,0.9,0.8,0.95,0.7,0.05,0.95,0.85,0.9]
recall
0.8 [0.95,0.95,0.9,0.85,1,0.65,0.2,0.95,0.95,0.6]
recall
0.795 [0.85,1,0.95,0.85,0.95,0.7,0.2,0.95,1,0.5]
relative_absolute_error
0.429677
relative_absolute_error
0.391299
relative_absolute_error
0.386252
relative_absolute_error
0.404772
relative_absolute_error
0.417498
relative_absolute_error
0.417316
relative_absolute_error
0.391123
relative_absolute_error
0.39796
relative_absolute_error
0.412715
relative_absolute_error
0.422988
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
0.170131
root_mean_squared_error
0.157324
root_mean_squared_error
0.154621
root_mean_squared_error
0.161442
root_mean_squared_error
0.164347
root_mean_squared_error
0.168223
root_mean_squared_error
0.154252
root_mean_squared_error
0.1598
root_mean_squared_error
0.167716
root_mean_squared_error
0.170915
root_relative_squared_error
0.567103
root_relative_squared_error
0.524415
root_relative_squared_error
0.515402
root_relative_squared_error
0.538141
root_relative_squared_error
0.547823
root_relative_squared_error
0.560742
root_relative_squared_error
0.514175
root_relative_squared_error
0.532668
root_relative_squared_error
0.559054
root_relative_squared_error
0.569715
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