583432
1
Jan van Rijn
14
Supervised Classification
2228
weka.SMO_PolyKernel(11)
2869
weka.classifiers.functions.SMO -- -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007"
E
1.0
2082
C
250007
2082
C
1.0
2228
N
0
2228
L
0.001
2228
P
1.0E-12
2228
V
-1
2228
W
1
2228
K
weka.classifiers.functions.supportVector.PolyKernel
2228
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
2016511
description
https://www.openml.org/data/download/2016511/weka_generated_run2816908017874878712.xml
-1
2016513
model_readable
https://www.openml.org/data/download/2016513/WekaModel_weka.classifiers.functions.SMO417164306760644952.model
-1
2016512
model_serialized
https://www.openml.org/data/download/2016512/WekaSerialized_weka.classifiers.functions.SMO6421925582015982889.model
-1
2016514
predictions
https://www.openml.org/data/download/2016514/weka_generated_predictions2590848570065279528.arff
area_under_roc_curve
0.970763 [0.999818,0.94304,0.992031,0.983129,0.951925,0.99054,0.939749,0.987093,0.992265,0.928036]
average_cost
0
f_measure
0.839927 [0.997494,0.775309,0.949749,0.907692,0.81203,0.925,0.59204,0.895735,0.982368,0.561856]
kappa
0.822778
kb_relative_information_score
576.937015
mean_absolute_error
0.161038
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
precision
0.840114 [1,0.765854,0.954545,0.931579,0.81407,0.925,0.589109,0.851351,0.989848,0.579787]
predictive_accuracy
0.8405
prior_entropy
3.321928
recall
0.8405 [0.995,0.785,0.945,0.885,0.81,0.925,0.595,0.945,0.975,0.545]
relative_absolute_error
0.894654
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.273811
root_relative_squared_error
0.912704
scimark_benchmark
1338.862953 [770.7647508525397, 965.4082957329683, 443.8784058667428, 1206.3691533693166, 3307.8941596739214]
total_cost
0
usercpu_time_millis
770
usercpu_time_millis_testing
20
usercpu_time_millis_training
750
area_under_roc_curve
0.973361 [0.998333,0.953333,0.996389,0.994444,0.960278,1,0.93125,0.991806,0.997222,0.910556]
area_under_roc_curve
0.970361 [1,0.937083,0.996667,0.988333,0.936111,0.983056,0.942639,0.987917,0.99375,0.938056]
area_under_roc_curve
0.963778 [1,0.928472,0.999306,0.940972,0.957778,0.992222,0.905556,0.970694,1,0.942778]
area_under_roc_curve
0.983764 [1,0.95375,0.997917,0.994444,0.981111,0.987917,0.975,0.990694,0.989028,0.967778]
area_under_roc_curve
0.966236 [1,0.921667,0.986667,0.98375,0.96125,0.989861,0.939583,0.980556,1,0.899028]
area_under_roc_curve
0.972222 [1,0.946944,0.994028,0.972083,0.941944,0.994444,0.946667,0.994444,1,0.931667]
area_under_roc_curve
0.971472 [1,0.954167,0.988889,0.989583,0.965278,0.988472,0.947778,0.983333,1,0.897222]
area_under_roc_curve
0.975069 [1,0.950833,0.997222,0.995417,0.922361,0.995556,0.938333,0.991667,0.994306,0.965]
area_under_roc_curve
0.968653 [1,0.925556,0.997222,0.997222,0.9725,0.982222,0.921667,0.991667,1,0.898472]
area_under_roc_curve
0.965736 [1,0.962917,0.965833,0.983194,0.931806,0.990833,0.944028,0.991667,0.950694,0.936389]
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
0.821967 [0.974359,0.818182,0.95,0.888889,0.818182,1,0.45,0.9,0.97561,0.444444]
f_measure
0.829804 [1,0.780488,0.95,0.864865,0.789474,0.857143,0.578947,0.883721,0.974359,0.619048]
f_measure
0.831916 [1,0.744186,0.974359,0.871795,0.844444,0.923077,0.604651,0.871795,1,0.484848]
f_measure
0.885065 [1,0.789474,0.974359,0.952381,0.857143,0.9,0.769231,0.871795,0.974359,0.761905]
f_measure
0.797641 [1,0.684211,0.974359,0.85,0.727273,0.871795,0.564103,0.818182,1,0.486486]
f_measure
0.851933 [1,0.820513,0.926829,0.923077,0.864865,0.952381,0.608696,0.952381,1,0.470588]
f_measure
0.816794 [1,0.769231,0.918919,0.926829,0.8,0.923077,0.571429,0.869565,1,0.388889]
f_measure
0.877794 [1,0.761905,0.97561,0.95,0.764706,0.926829,0.761905,0.930233,0.95,0.756757]
f_measure
0.846661 [1,0.810811,0.97561,0.97561,0.85,0.947368,0.411765,0.930233,1,0.565217]
f_measure
0.82774 [1,0.772727,0.878049,0.857143,0.8,0.95,0.564103,0.930233,0.947368,0.577778]
kappa
0.805556
kappa
0.811111
kappa
0.816667
kappa
0.872222
kappa
0.777778
kappa
0.838889
kappa
0.8
kappa
0.866667
kappa
0.833333
kappa
0.805556
kb_relative_information_score
57.912645
kb_relative_information_score
57.701685
kb_relative_information_score
56.771497
kb_relative_information_score
58.542332
kb_relative_information_score
57.349013
kb_relative_information_score
57.913132
kb_relative_information_score
57.690793
kb_relative_information_score
58.217991
kb_relative_information_score
57.717754
kb_relative_information_score
57.120174
mean_absolute_error
0.160956
mean_absolute_error
0.161022
mean_absolute_error
0.1614
mean_absolute_error
0.160689
mean_absolute_error
0.161178
mean_absolute_error
0.160933
mean_absolute_error
0.161044
mean_absolute_error
0.1608
mean_absolute_error
0.161044
mean_absolute_error
0.161311
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
0.825238 [1,0.75,0.95,1,0.75,1,0.45,0.9,0.952381,0.5]
precision
0.83327 [1,0.761905,0.95,0.941176,0.833333,0.818182,0.611111,0.826087,1,0.590909]
precision
0.83731 [1,0.695652,1,0.894737,0.76,0.947368,0.565217,0.894737,1,0.615385]
precision
0.887209 [1,0.833333,1,0.909091,0.818182,0.9,0.789474,0.894737,1,0.727273]
precision
0.799198 [1,0.722222,1,0.85,0.666667,0.894737,0.578947,0.75,1,0.529412]
precision
0.856348 [1,0.842105,0.904762,0.947368,0.941176,0.909091,0.538462,0.909091,1,0.571429]
precision
0.819379 [1,0.789474,1,0.904762,0.8,0.947368,0.545455,0.769231,1,0.4375]
precision
0.883335 [1,0.727273,0.952381,0.95,0.928571,0.904762,0.727273,0.869565,0.95,0.823529]
precision
0.850668 [1,0.882353,0.952381,0.952381,0.85,1,0.5,0.869565,1,0.5]
precision
0.841732 [1,0.708333,0.857143,1,0.933333,0.95,0.578947,0.869565,1,0.52]
predictive_accuracy
0.825
predictive_accuracy
0.83
predictive_accuracy
0.835
predictive_accuracy
0.885
predictive_accuracy
0.8
predictive_accuracy
0.855
predictive_accuracy
0.82
predictive_accuracy
0.88
predictive_accuracy
0.85
predictive_accuracy
0.825
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
0.825 [0.95,0.9,0.95,0.8,0.9,1,0.45,0.9,1,0.4]
recall
0.83 [1,0.8,0.95,0.8,0.75,0.9,0.55,0.95,0.95,0.65]
recall
0.835 [1,0.8,0.95,0.85,0.95,0.9,0.65,0.85,1,0.4]
recall
0.885 [1,0.75,0.95,1,0.9,0.9,0.75,0.85,0.95,0.8]
recall
0.8 [1,0.65,0.95,0.85,0.8,0.85,0.55,0.9,1,0.45]
recall
0.855 [1,0.8,0.95,0.9,0.8,1,0.7,1,1,0.4]
recall
0.82 [1,0.75,0.85,0.95,0.8,0.9,0.6,1,1,0.35]
recall
0.88 [1,0.8,1,0.95,0.65,0.95,0.8,1,0.95,0.7]
recall
0.85 [1,0.75,1,1,0.85,0.9,0.35,1,1,0.65]
recall
0.825 [1,0.85,0.9,0.75,0.7,0.95,0.55,1,0.9,0.65]
relative_absolute_error
0.894197
relative_absolute_error
0.894568
relative_absolute_error
0.896667
relative_absolute_error
0.892716
relative_absolute_error
0.895432
relative_absolute_error
0.894074
relative_absolute_error
0.894691
relative_absolute_error
0.893333
relative_absolute_error
0.894691
relative_absolute_error
0.896173
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
0.273634
root_mean_squared_error
0.273802
root_mean_squared_error
0.274454
root_mean_squared_error
0.273232
root_mean_squared_error
0.274073
root_mean_squared_error
0.273569
root_mean_squared_error
0.273841
root_mean_squared_error
0.273379
root_mean_squared_error
0.273807
root_mean_squared_error
0.274318
root_relative_squared_error
0.912113
root_relative_squared_error
0.912673
root_relative_squared_error
0.914846
root_relative_squared_error
0.910774
root_relative_squared_error
0.913577
root_relative_squared_error
0.911897
root_relative_squared_error
0.912805
root_relative_squared_error
0.911262
root_relative_squared_error
0.912691
root_relative_squared_error
0.914393
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
usercpu_time_millis
1170
usercpu_time_millis
530
usercpu_time_millis
470
usercpu_time_millis
490
usercpu_time_millis
470
usercpu_time_millis
480
usercpu_time_millis
660
usercpu_time_millis
510
usercpu_time_millis
530
usercpu_time_millis
520
usercpu_time_millis_testing
30
usercpu_time_millis_testing
20
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
1140
usercpu_time_millis_training
510
usercpu_time_millis_training
470
usercpu_time_millis_training
490
usercpu_time_millis_training
470
usercpu_time_millis_training
480
usercpu_time_millis_training
660
usercpu_time_millis_training
500
usercpu_time_millis_training
530
usercpu_time_millis_training
520