11077
2
Joaquin Vanschoren
14
Supervised Classification
60
weka.J48(1)
172
weka.classifiers.trees.J48 -- -C 0.9 -M 10
C
0.9
60
M
10
60
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
22499
description
https://api.openml.org/data/download/22499/weka_generated_run4088404945066188475.xml
-1
22500
predictions
https://api.openml.org/data/download/22500/weka_generated_predictions8833299719200233654.arff
area_under_roc_curve
0.936984 [0.99216,0.910047,0.973283,0.927669,0.896553,0.955824,0.873894,0.968626,0.983097,0.888682]
average_cost
0
f_measure
0.745826 [0.967581,0.696742,0.902256,0.746479,0.653367,0.809278,0.402299,0.837321,0.937028,0.50591]
kappa
0.721111
kb_relative_information_score
1495.041707
mean_absolute_error
0.05959
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.745829 [0.965174,0.698492,0.904523,0.70354,0.651741,0.835106,0.472973,0.802752,0.944162,0.479821]
predictive_accuracy
0.749
prior_entropy
3.321928
recall
0.749 [0.97,0.695,0.9,0.795,0.655,0.785,0.35,0.875,0.93,0.535]
relative_absolute_error
0.331053
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.193709
root_relative_squared_error
0.645696
scimark_benchmark
944.764124 [560.30860489012831016.0585376856843478.28146046101085910.85475360997441758.3172656914378]
total_cost
0
area_under_roc_curve
0.948347 [0.994444,0.915417,0.97875,0.894306,0.935972,0.965694,0.885972,0.956944,0.998333,0.957639]
area_under_roc_curve
0.949889 [0.972361,0.914444,0.953611,0.951667,0.917917,0.976806,0.9625,0.951806,0.972361,0.925417]
area_under_roc_curve
0.916056 [1,0.81625,0.962222,0.886667,0.935833,0.982361,0.794722,0.940417,0.999167,0.842917]
area_under_roc_curve
0.951389 [0.99125,0.935556,0.993889,0.982222,0.949167,0.929028,0.910417,0.990556,0.972778,0.859028]
area_under_roc_curve
0.921514 [0.997222,0.933611,0.965833,0.943889,0.852917,0.893889,0.837222,0.912222,0.996528,0.881806]
area_under_roc_curve
0.934931 [1,0.956806,0.996389,0.9075,0.920139,0.957639,0.789167,0.986389,0.999583,0.835694]
area_under_roc_curve
0.923611 [0.9975,0.970556,0.938472,0.915694,0.749861,0.917917,0.93625,0.980833,0.972083,0.856944]
area_under_roc_curve
0.927194 [0.96875,0.841667,0.997222,0.887639,0.868611,0.982639,0.904167,0.990556,0.935139,0.895556]
area_under_roc_curve
0.955792 [0.997083,0.902083,0.996528,0.987917,0.897222,0.982222,0.891806,0.986667,1,0.916389]
area_under_roc_curve
0.938486 [0.991667,0.904306,0.958889,0.92625,0.943056,0.970556,0.797361,0.99375,0.988333,0.910694]
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
build_cpu_time
0.911
build_cpu_time
0.93
build_cpu_time
0.71
build_cpu_time
0.709
build_cpu_time
0.701
build_cpu_time
0.675
build_cpu_time
0.656
build_cpu_time
0.696
build_cpu_time
0.651
build_cpu_time
0.638
build_memory
622493936
build_memory
741069336
build_memory
773539936
build_memory
178542648
build_memory
212712296
build_memory
247862032
build_memory
277460232
build_memory
310484392
build_memory
340072776
build_memory
367669856
f_measure
0.749857 [0.952381,0.682927,0.9,0.744186,0.625,0.894737,0.285714,0.742857,0.947368,0.723404]
f_measure
0.752545 [0.947368,0.666667,0.864865,0.833333,0.619048,0.731707,0.545455,0.8,0.904762,0.612245]
f_measure
0.765063 [1,0.651163,0.918919,0.75,0.8,0.923077,0.4,0.810811,0.97561,0.421053]
f_measure
0.786047 [0.974359,0.702703,0.95,0.77551,0.711111,0.810811,0.615385,0.9,0.95,0.470588]
f_measure
0.681934 [0.97561,0.6,0.894737,0.666667,0.484848,0.75,0.30303,0.75,0.95,0.444444]
f_measure
0.734229 [1,0.744186,0.923077,0.755556,0.631579,0.777778,0.30303,0.844444,0.952381,0.410256]
f_measure
0.701467 [0.974359,0.756757,0.829268,0.697674,0.571429,0.636364,0.30303,0.863636,0.947368,0.434783]
f_measure
0.737348 [0.95,0.7,0.930233,0.666667,0.594595,0.842105,0.5,0.837209,0.864865,0.487805]
f_measure
0.795135 [0.974359,0.736842,0.926829,0.809524,0.761905,0.810811,0.451613,0.883721,1,0.595745]
f_measure
0.741144 [0.930233,0.736842,0.883721,0.780488,0.666667,0.947368,0.285714,0.930233,0.871795,0.378378]
kappa
0.733333
kappa
0.722222
kappa
0.738889
kappa
0.766667
kappa
0.655556
kappa
0.716667
kappa
0.672222
kappa
0.711111
kappa
0.777778
kappa
0.716667
kb_relative_information_score
152.186712
kb_relative_information_score
149.256467
kb_relative_information_score
146.183683
kb_relative_information_score
154.657022
kb_relative_information_score
142.898187
kb_relative_information_score
148.304719
kb_relative_information_score
145.812908
kb_relative_information_score
148.168557
kb_relative_information_score
157.350527
kb_relative_information_score
150.222925
mean_absolute_error
0.058508
mean_absolute_error
0.061209
mean_absolute_error
0.06184
mean_absolute_error
0.052777
mean_absolute_error
0.065472
mean_absolute_error
0.059624
mean_absolute_error
0.065358
mean_absolute_error
0.059974
mean_absolute_error
0.052874
mean_absolute_error
0.05826
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
0.764786 [0.909091,0.666667,0.9,0.695652,0.535714,0.944444,0.5,0.866667,1,0.62963]
precision
0.769342 [1,0.636364,0.941176,0.9375,0.590909,0.714286,0.692308,0.8,0.863636,0.517241]
precision
0.770524 [1,0.608696,1,0.75,0.72,0.947368,0.4,0.882353,0.952381,0.444444]
precision
0.794524 [1,0.764706,0.95,0.655172,0.64,0.882353,0.631579,0.9,0.95,0.571429]
precision
0.687605 [0.952381,0.6,0.944444,0.636364,0.615385,0.75,0.384615,0.642857,0.95,0.4]
precision
0.733945 [1,0.695652,0.947368,0.68,0.666667,0.875,0.384615,0.76,0.909091,0.421053]
precision
0.709612 [1,0.823529,0.809524,0.652174,0.666667,0.583333,0.384615,0.791667,1,0.384615]
precision
0.741799 [0.95,0.7,0.869565,0.6,0.647059,0.888889,0.5625,0.782609,0.941176,0.47619]
precision
0.804586 [1,0.777778,0.904762,0.772727,0.727273,0.882353,0.636364,0.826087,1,0.518519]
precision
0.743413 [0.869565,0.777778,0.826087,0.761905,0.75,1,0.272727,0.869565,0.894737,0.411765]
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.765
predictive_accuracy
0.79
predictive_accuracy
0.69
predictive_accuracy
0.745
predictive_accuracy
0.705
predictive_accuracy
0.74
predictive_accuracy
0.8
predictive_accuracy
0.745
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
0.76 [1,0.7,0.9,0.8,0.75,0.85,0.2,0.65,0.9,0.85]
recall
0.75 [0.9,0.7,0.8,0.75,0.65,0.75,0.45,0.8,0.95,0.75]
recall
0.765 [1,0.7,0.85,0.75,0.9,0.9,0.4,0.75,1,0.4]
recall
0.79 [0.95,0.65,0.95,0.95,0.8,0.75,0.6,0.9,0.95,0.4]
recall
0.69 [1,0.6,0.85,0.7,0.4,0.75,0.25,0.9,0.95,0.5]
recall
0.745 [1,0.8,0.9,0.85,0.6,0.7,0.25,0.95,1,0.4]
recall
0.705 [0.95,0.7,0.85,0.75,0.5,0.7,0.25,0.95,0.9,0.5]
recall
0.74 [0.95,0.7,1,0.75,0.55,0.8,0.45,0.9,0.8,0.5]
recall
0.8 [0.95,0.7,0.95,0.85,0.8,0.75,0.35,0.95,1,0.7]
recall
0.745 [1,0.7,0.95,0.8,0.6,0.9,0.3,1,0.85,0.35]
relative_absolute_error
0.325047
relative_absolute_error
0.340051
relative_absolute_error
0.343554
relative_absolute_error
0.293205
relative_absolute_error
0.363731
relative_absolute_error
0.331242
relative_absolute_error
0.3631
relative_absolute_error
0.333188
relative_absolute_error
0.293742
relative_absolute_error
0.323669
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
0.186351
root_mean_squared_error
0.194905
root_mean_squared_error
0.199207
root_mean_squared_error
0.181488
root_mean_squared_error
0.20828
root_mean_squared_error
0.195554
root_mean_squared_error
0.203674
root_mean_squared_error
0.19785
root_mean_squared_error
0.173186
root_mean_squared_error
0.194041
root_relative_squared_error
0.621169
root_relative_squared_error
0.649682
root_relative_squared_error
0.664022
root_relative_squared_error
0.604961
root_relative_squared_error
0.694268
root_relative_squared_error
0.651848
root_relative_squared_error
0.678913
root_relative_squared_error
0.6595
root_relative_squared_error
0.577288
root_relative_squared_error
0.646803
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