113103
2
Joaquin Vanschoren
14
Supervised Classification
405
weka.AdaBoostM1_J48(2)
629
weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
I
10
405
P
100
405
S
1
405
W
weka.classifiers.trees.J48
405
C
0.25
365
M
2
365
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
345642
description
https://api.openml.org/data/download/345642/weka_generated_run5252636051206345540.xml
-1
345645
model_readable
https://api.openml.org/data/download/345645/WekaModel_weka.classifiers.meta.AdaBoostM16781800970367861842.model
-1
345644
model_serialized
https://api.openml.org/data/download/345644/WekaSerialized_weka.classifiers.meta.AdaBoostM18480172754137831156.model
-1
345643
predictions
https://api.openml.org/data/download/345643/weka_generated_predictions7534813985776631145.arff
area_under_roc_curve
0.963213 [0.999889,0.943494,0.989421,0.974504,0.956035,0.989628,0.887929,0.987721,0.996408,0.907106]
average_cost
0
build_cpu_time
9.1022
build_memory
855333572.8
f_measure
0.815112 [0.982456,0.798995,0.937656,0.880597,0.773196,0.915842,0.501279,0.868293,0.959799,0.533007]
kappa
0.795
kb_relative_information_score
1632.019113
mean_absolute_error
0.037364
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
0.815114 [0.984925,0.80303,0.935323,0.876238,0.797872,0.906863,0.513089,0.847619,0.964646,0.521531]
predictive_accuracy
0.8155
prior_entropy
3.321928
recall
0.8155 [0.98,0.795,0.94,0.885,0.75,0.925,0.49,0.89,0.955,0.545]
relative_absolute_error
0.207578
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.18266
root_relative_squared_error
0.608867
scimark_benchmark
943.403854 [565.5774034618904, 1004.1454393001591, 482.14720472367435, 910.2221860532421, 1754.9270356714871]
total_cost
0
area_under_roc_curve
0.957764 [1,0.983194,0.972222,0.964583,0.980556,0.971806,0.847778,0.992639,0.998611,0.86625]
area_under_roc_curve
0.954319 [0.999722,0.928333,0.999167,0.963889,0.917361,0.987361,0.892083,0.989167,0.996944,0.869167]
area_under_roc_curve
0.946819 [1,0.927083,0.998056,0.910972,0.958472,0.997222,0.788889,0.989306,1,0.898194]
area_under_roc_curve
0.978514 [0.999167,0.96125,0.971944,0.997778,0.983611,0.990278,0.955833,0.995278,0.999722,0.930278]
area_under_roc_curve
0.960153 [1,0.890556,0.993611,0.968611,0.962778,0.994583,0.891389,0.958889,1,0.941111]
area_under_roc_curve
0.971306 [1,0.958194,0.999722,0.996667,0.99,0.998333,0.906806,0.995,0.997222,0.871111]
area_under_roc_curve
0.967806 [1,0.956389,0.971111,0.990278,0.965833,0.991667,0.882639,0.991806,1,0.928333]
area_under_roc_curve
0.963875 [1,0.930139,0.996667,0.99125,0.931944,0.992222,0.899444,0.992917,0.972639,0.931528]
area_under_roc_curve
0.971403 [1,0.937778,1,1,0.958472,0.970972,0.927083,0.992917,1,0.926806]
area_under_roc_curve
0.961403 [1,0.965,0.993611,0.963333,0.908472,0.999444,0.889306,0.991667,0.997778,0.905417]
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
9.091
build_cpu_time
9.098
build_cpu_time
9.269
build_cpu_time
9.292
build_cpu_time
8.749
build_cpu_time
9.293
build_cpu_time
8.721
build_cpu_time
9.601
build_cpu_time
9.115
build_cpu_time
8.793
build_memory
585399016
build_memory
1225005224
build_memory
389475992
build_memory
898406288
build_memory
1407492672
build_memory
579102080
build_memory
1064639792
build_memory
284419560
build_memory
800620336
build_memory
1318774768
f_measure
0.763329 [1,0.744186,0.904762,0.810811,0.727273,0.947368,0.35,0.820513,0.95,0.378378]
f_measure
0.79672 [0.95,0.829268,0.952381,0.894737,0.648649,0.904762,0.55814,0.829268,0.9,0.5]
f_measure
0.791651 [0.974359,0.8,0.95,0.871795,0.772727,0.95,0.368421,0.764706,0.97561,0.488889]
f_measure
0.844072 [0.974359,0.820513,0.923077,0.904762,0.857143,0.9,0.514286,0.95,0.974359,0.622222]
f_measure
0.824032 [1,0.736842,0.947368,0.863636,0.769231,0.9,0.540541,0.878049,1,0.604651]
f_measure
0.827085 [0.97561,0.85,0.97561,0.894737,0.8,0.930233,0.545455,0.904762,0.95,0.444444]
f_measure
0.819094 [0.974359,0.75,0.857143,0.85,0.8,0.863636,0.631579,0.869565,0.97561,0.619048]
f_measure
0.823764 [1,0.769231,0.97561,0.904762,0.736842,0.894737,0.55,0.909091,0.947368,0.55]
f_measure
0.826911 [1,0.820513,1,0.952381,0.769231,0.9,0.411765,0.85,1,0.565217]
f_measure
0.825606 [0.97561,0.871795,0.883721,0.85,0.857143,0.974359,0.52381,0.883721,0.923077,0.512821]
kappa
0.738889
kappa
0.777778
kappa
0.766667
kappa
0.827778
kappa
0.805556
kappa
0.811111
kappa
0.8
kappa
0.805556
kappa
0.811111
kappa
0.805556
kb_relative_information_score
155.97071
kb_relative_information_score
161.092377
kb_relative_information_score
157.745445
kb_relative_information_score
168.103146
kb_relative_information_score
163.55595
kb_relative_information_score
164.396664
kb_relative_information_score
162.496135
kb_relative_information_score
165.662208
kb_relative_information_score
168.558104
kb_relative_information_score
164.438374
mean_absolute_error
0.044023
mean_absolute_error
0.039364
mean_absolute_error
0.042528
mean_absolute_error
0.033872
mean_absolute_error
0.038111
mean_absolute_error
0.035358
mean_absolute_error
0.037415
mean_absolute_error
0.034813
mean_absolute_error
0.032088
mean_absolute_error
0.036069
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
0.766218 [1,0.695652,0.863636,0.882353,0.666667,1,0.35,0.842105,0.95,0.411765]
precision
0.797634 [0.95,0.809524,0.909091,0.944444,0.705882,0.863636,0.521739,0.809524,0.9,0.5625]
precision
0.801291 [1,0.8,0.95,0.894737,0.708333,0.95,0.388889,0.928571,0.952381,0.44]
precision
0.848129 [1,0.842105,0.947368,0.863636,0.818182,0.9,0.6,0.95,1,0.56]
precision
0.826951 [1,0.777778,1,0.791667,0.789474,0.9,0.588235,0.857143,1,0.565217]
precision
0.831574 [0.952381,0.85,0.952381,0.944444,0.933333,0.869565,0.5,0.863636,0.95,0.5]
precision
0.830419 [1,0.75,1,0.85,0.933333,0.791667,0.666667,0.769231,0.952381,0.590909]
precision
0.826105 [1,0.789474,0.952381,0.863636,0.777778,0.944444,0.55,0.833333,1,0.55]
precision
0.829067 [1,0.842105,1,0.909091,0.789474,0.9,0.5,0.85,1,0.5]
precision
0.832298 [0.952381,0.894737,0.826087,0.85,1,1,0.5,0.826087,0.947368,0.526316]
predictive_accuracy
0.765
predictive_accuracy
0.8
predictive_accuracy
0.79
predictive_accuracy
0.845
predictive_accuracy
0.825
predictive_accuracy
0.83
predictive_accuracy
0.82
predictive_accuracy
0.825
predictive_accuracy
0.83
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
0.765 [1,0.8,0.95,0.75,0.8,0.9,0.35,0.8,0.95,0.35]
recall
0.8 [0.95,0.85,1,0.85,0.6,0.95,0.6,0.85,0.9,0.45]
recall
0.79 [0.95,0.8,0.95,0.85,0.85,0.95,0.35,0.65,1,0.55]
recall
0.845 [0.95,0.8,0.9,0.95,0.9,0.9,0.45,0.95,0.95,0.7]
recall
0.825 [1,0.7,0.9,0.95,0.75,0.9,0.5,0.9,1,0.65]
recall
0.83 [1,0.85,1,0.85,0.7,1,0.6,0.95,0.95,0.4]
recall
0.82 [0.95,0.75,0.75,0.85,0.7,0.95,0.6,1,1,0.65]
recall
0.825 [1,0.75,1,0.95,0.7,0.85,0.55,1,0.9,0.55]
recall
0.83 [1,0.8,1,1,0.75,0.9,0.35,0.85,1,0.65]
recall
0.825 [1,0.85,0.95,0.85,0.75,0.95,0.55,0.95,0.9,0.5]
relative_absolute_error
0.244572
relative_absolute_error
0.218691
relative_absolute_error
0.236265
relative_absolute_error
0.188175
relative_absolute_error
0.21173
relative_absolute_error
0.196434
relative_absolute_error
0.207862
relative_absolute_error
0.193403
relative_absolute_error
0.178264
relative_absolute_error
0.200385
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
0.199399
root_mean_squared_error
0.188068
root_mean_squared_error
0.197227
root_mean_squared_error
0.170619
root_mean_squared_error
0.180856
root_mean_squared_error
0.180524
root_mean_squared_error
0.184607
root_mean_squared_error
0.17598
root_mean_squared_error
0.167658
root_mean_squared_error
0.179033
root_relative_squared_error
0.664662
root_relative_squared_error
0.626892
root_relative_squared_error
0.657422
root_relative_squared_error
0.56873
root_relative_squared_error
0.602854
root_relative_squared_error
0.601745
root_relative_squared_error
0.615356
root_relative_squared_error
0.586602
root_relative_squared_error
0.55886
root_relative_squared_error
0.596776
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