2192637
1856
Miguel Cachada
14
Supervised Classification
5926
weka.SMO_PolyKernel(15)
288758
weka.classifiers.functions.SMO -- -C 0.1 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4"
C
0.1
5926
N
0
5926
L
0.001
5926
P
1.0E-12
5926
V
-1
5926
W
1
5926
K
weka.classifiers.functions.supportVector.PolyKernel
5926
calibrator
true
5926
E
1.0
5927
C
250007
5927
study_70
weka
weka_3.8.1
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
5339253
description
https://api.openml.org/data/download/5339253/weka_generated_run8798180005679504287.xml
-1
5339255
model_readable
https://api.openml.org/data/download/5339255/WekaModel_weka.classifiers.functions.SMO7555411072268628535.model
-1
5339254
model_serialized
https://api.openml.org/data/download/5339254/WekaSerialized_weka.classifiers.functions.SMO8163689919269108040.model
-1
5339256
predictions
https://api.openml.org/data/download/5339256/weka_generated_predictions8162633004632226026.arff
area_under_roc_curve
0.962832 [0.999672,0.930329,0.989431,0.979653,0.935312,0.984149,0.926483,0.980328,0.982422,0.92054]
average_cost
0
f_measure
0.81151 [0.994975,0.736077,0.944724,0.872727,0.773684,0.905941,0.475645,0.868966,0.977444,0.56492]
kappa
0.792778
kb_relative_information_score
570.764028
mean_absolute_error
0.161302
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.814497 [1,0.713615,0.949495,0.908108,0.816667,0.897059,0.557047,0.804255,0.979899,0.518828]
predictive_accuracy
0.8135
prior_entropy
3.321928
recall
0.8135 [0.99,0.76,0.94,0.84,0.735,0.915,0.415,0.945,0.975,0.62]
relative_absolute_error
0.896123
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.274448
root_relative_squared_error
0.914826
total_cost
0
area_under_roc_curve
0.963944 [0.998333,0.939306,0.996389,0.990972,0.941528,1,0.881389,0.985972,0.997222,0.908333]
area_under_roc_curve
0.965819 [1,0.959444,0.97625,0.992222,0.922361,0.979028,0.951389,0.971806,0.960556,0.945139]
area_under_roc_curve
0.952875 [1,0.893333,0.995,0.928333,0.933056,0.984583,0.891528,0.963194,1,0.939722]
area_under_roc_curve
0.969417 [0.998333,0.924306,0.999722,0.992917,0.970417,0.986806,0.952222,0.977361,0.960417,0.931667]
area_under_roc_curve
0.961708 [1,0.897917,0.984861,0.977917,0.947083,0.985833,0.946111,0.977778,1,0.899583]
area_under_roc_curve
0.966472 [1,0.932778,0.994444,0.989583,0.929722,0.986111,0.937778,0.991667,1,0.902639]
area_under_roc_curve
0.965514 [1,0.941389,0.994722,0.982778,0.935,0.956111,0.943333,0.983333,1,0.918472]
area_under_roc_curve
0.970472 [1,0.941389,0.996667,0.982917,0.9175,0.994167,0.936111,0.983333,0.994306,0.958333]
area_under_roc_curve
0.965278 [1,0.914306,0.997222,0.995972,0.950139,0.975278,0.927361,0.986111,1,0.906389]
area_under_roc_curve
0.950875 [1,0.956944,0.959306,0.970417,0.923056,0.996806,0.905972,0.986111,0.914306,0.895833]
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
0.781509 [0.974359,0.734694,0.95,0.857143,0.829268,1,0.222222,0.871795,0.97561,0.4]
f_measure
0.816904 [1,0.820513,0.926829,0.894737,0.666667,0.837209,0.588235,0.818182,0.95,0.666667]
f_measure
0.814722 [1,0.697674,0.974359,0.8,0.837209,0.9,0.451613,0.85,1,0.636364]
f_measure
0.824058 [0.974359,0.769231,0.974359,0.926829,0.772727,0.878049,0.545455,0.871795,0.95,0.577778]
f_measure
0.795656 [1,0.628571,0.974359,0.85,0.736842,0.857143,0.526316,0.833333,1,0.55]
f_measure
0.812983 [1,0.780488,0.952381,0.864865,0.769231,0.923077,0.444444,0.930233,1,0.465116]
f_measure
0.814552 [1,0.714286,0.918919,0.878049,0.764706,0.85,0.6,0.869565,1,0.55]
f_measure
0.849464 [1,0.731707,0.95,0.871795,0.8,0.923077,0.684211,0.869565,0.95,0.714286]
f_measure
0.818273 [1,0.736842,0.97561,0.95,0.705882,0.926829,0.344828,0.888889,1,0.653846]
f_measure
0.776739 [1,0.73913,0.85,0.823529,0.833333,0.974359,0.294118,0.888889,0.947368,0.416667]
kappa
0.761111
kappa
0.8
kappa
0.8
kappa
0.805556
kappa
0.777778
kappa
0.794444
kappa
0.794444
kappa
0.833333
kappa
0.811111
kappa
0.75
kb_relative_information_score
57.007233
kb_relative_information_score
57.07053
kb_relative_information_score
56.018226
kb_relative_information_score
57.596806
kb_relative_information_score
57.086901
kb_relative_information_score
57.351013
kb_relative_information_score
57.289966
kb_relative_information_score
57.834017
kb_relative_information_score
57.446197
kb_relative_information_score
56.063138
mean_absolute_error
0.161311
mean_absolute_error
0.161311
mean_absolute_error
0.161689
mean_absolute_error
0.161133
mean_absolute_error
0.161267
mean_absolute_error
0.161156
mean_absolute_error
0.161244
mean_absolute_error
0.160956
mean_absolute_error
0.161156
mean_absolute_error
0.1618
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
0.787733 [1,0.62069,0.95,1,0.809524,1,0.25,0.894737,0.952381,0.4]
precision
0.823821 [1,0.842105,0.904762,0.944444,0.75,0.782609,0.714286,0.75,0.95,0.6]
precision
0.820448 [1,0.652174,1,0.8,0.782609,0.9,0.636364,0.85,1,0.583333]
precision
0.831676 [1,0.789474,1,0.904762,0.708333,0.857143,0.692308,0.894737,0.95,0.52]
precision
0.799913 [1,0.733333,1,0.85,0.777778,0.818182,0.555556,0.714286,1,0.55]
precision
0.815336 [1,0.761905,0.909091,0.941176,0.789474,0.947368,0.5,0.869565,1,0.434783]
precision
0.823676 [1,0.681818,1,0.857143,0.928571,0.85,0.6,0.769231,1,0.55]
precision
0.8563 [1,0.714286,0.95,0.894737,0.933333,0.947368,0.722222,0.769231,0.95,0.681818]
precision
0.832887 [1,0.777778,0.952381,0.95,0.857143,0.904762,0.555556,0.8,1,0.53125]
precision
0.795563 [1,0.653846,0.85,1,0.9375,1,0.357143,0.8,1,0.357143]
predictive_accuracy
0.785
predictive_accuracy
0.82
predictive_accuracy
0.82
predictive_accuracy
0.825
predictive_accuracy
0.8
predictive_accuracy
0.815
predictive_accuracy
0.815
predictive_accuracy
0.85
predictive_accuracy
0.83
predictive_accuracy
0.775
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
0.785 [0.95,0.9,0.95,0.75,0.85,1,0.2,0.85,1,0.4]
recall
0.82 [1,0.8,0.95,0.85,0.6,0.9,0.5,0.9,0.95,0.75]
recall
0.82 [1,0.75,0.95,0.8,0.9,0.9,0.35,0.85,1,0.7]
recall
0.825 [0.95,0.75,0.95,0.95,0.85,0.9,0.45,0.85,0.95,0.65]
recall
0.8 [1,0.55,0.95,0.85,0.7,0.9,0.5,1,1,0.55]
recall
0.815 [1,0.8,1,0.8,0.75,0.9,0.4,1,1,0.5]
recall
0.815 [1,0.75,0.85,0.9,0.65,0.85,0.6,1,1,0.55]
recall
0.85 [1,0.75,0.95,0.85,0.7,0.9,0.65,1,0.95,0.75]
recall
0.83 [1,0.7,1,0.95,0.6,0.95,0.25,1,1,0.85]
recall
0.775 [1,0.85,0.85,0.7,0.75,0.95,0.25,1,0.9,0.5]
relative_absolute_error
0.896173
relative_absolute_error
0.896173
relative_absolute_error
0.898271
relative_absolute_error
0.895185
relative_absolute_error
0.895926
relative_absolute_error
0.895309
relative_absolute_error
0.895802
relative_absolute_error
0.894197
relative_absolute_error
0.895309
relative_absolute_error
0.898889
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
0.274471
root_mean_squared_error
0.274475
root_mean_squared_error
0.27515
root_mean_squared_error
0.274152
root_mean_squared_error
0.274366
root_mean_squared_error
0.274163
root_mean_squared_error
0.274348
root_mean_squared_error
0.27381
root_mean_squared_error
0.274184
root_mean_squared_error
0.275356
root_relative_squared_error
0.914903
root_relative_squared_error
0.914915
root_relative_squared_error
0.917167
root_relative_squared_error
0.913841
root_relative_squared_error
0.914552
root_relative_squared_error
0.913877
root_relative_squared_error
0.914492
root_relative_squared_error
0.9127
root_relative_squared_error
0.913946
root_relative_squared_error
0.917852
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