145856
2
Joaquin Vanschoren
14
Supervised Classification
405
weka.AdaBoostM1_J48(2)
625
weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 160 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
I
160
405
P
100
405
S
1
405
W
weka.classifiers.trees.J48
405
C
0.25
365
M
2
365
weka
weka_3.7.12-SNAPSHOT
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
472420
description
https://www.openml.org/data/download/472420/weka_generated_run815401955844529371.xml
-1
472422
model_readable
https://www.openml.org/data/download/472422/WekaModel_weka.classifiers.meta.AdaBoostM14527321703955349131.model
-1
472421
model_serialized
https://www.openml.org/data/download/472421/WekaSerialized_weka.classifiers.meta.AdaBoostM16798117933738670300.model
-1
472423
predictions
https://www.openml.org/data/download/472423/weka_generated_predictions1874172296089593257.arff
area_under_roc_curve
0.918838 [0.999994,0.901114,0.974708,0.957114,0.908637,0.965969,0.748179,0.969993,0.981867,0.780801]
average_cost
0
f_measure
0.840783 [0.992519,0.819095,0.952618,0.928934,0.834197,0.923077,0.527919,0.901679,0.969543,0.558252]
kappa
0.822778
kb_relative_information_score
1667.079098
mean_absolute_error
0.031916
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_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
precision
0.841811 [0.99005,0.823232,0.950249,0.943299,0.865591,0.916256,0.536082,0.866359,0.984536,0.542453]
predictive_accuracy
0.8405
prior_entropy
3.321928
recall
0.8405 [0.995,0.815,0.955,0.915,0.805,0.93,0.52,0.94,0.955,0.575]
relative_absolute_error
0.177314
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.178084
root_relative_squared_error
0.593614
scimark_benchmark
1146.463394 [641.9729978292729, 1074.1109120652666, 584.3492995548152, 933.5612243914425, 2498.3225350953912]
total_cost
0
usercpu_time_millis
230180
usercpu_time_millis_testing
1070
usercpu_time_millis_training
229110
area_under_roc_curve
0.904736 [1,0.910278,0.969444,0.95,0.938611,0.975,0.670139,0.944444,0.971944,0.7175]
area_under_roc_curve
0.917972 [1,0.919167,0.972083,0.921389,0.889167,0.941111,0.75375,0.965833,1,0.817222]
area_under_roc_curve
0.916028 [1,0.911806,0.997222,0.899444,0.943611,0.969444,0.700139,0.919444,1,0.819167]
area_under_roc_curve
0.948736 [1,0.919444,0.975,0.997222,0.988889,0.95,0.832778,0.972083,1,0.851944]
area_under_roc_curve
0.906722 [1,0.840833,0.95,0.969444,0.867361,0.990556,0.677639,0.963333,1,0.808056]
area_under_roc_curve
0.924333 [1,0.919028,0.997222,0.971944,0.872222,0.994167,0.796528,0.994444,0.972222,0.725556]
area_under_roc_curve
0.908069 [1,0.884028,0.925,0.969444,0.9,0.969444,0.745833,0.99125,1,0.695694]
area_under_roc_curve
0.93075 [1,0.863889,0.997222,0.972222,0.891667,0.924583,0.856944,0.988889,0.949722,0.862361]
area_under_roc_curve
0.926417 [1,0.897222,1,0.969444,0.896944,0.969444,0.744167,0.994444,1,0.7925]
area_under_roc_curve
0.904667 [1,0.944444,0.963889,0.95,0.9,0.975,0.704167,0.966528,0.924583,0.718056]
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
0.813688 [1,0.790698,0.926829,0.947368,0.857143,0.974359,0.378378,0.9,0.923077,0.439024]
f_measure
0.829378 [1,0.871795,0.95,0.842105,0.736842,0.837209,0.555556,0.878049,1,0.622222]
f_measure
0.839999 [1,0.780488,0.97561,0.888889,0.878049,0.926829,0.473684,0.871795,1,0.604651]
f_measure
0.889641 [1,0.871795,0.974359,0.97561,0.888889,0.947368,0.648649,0.923077,1,0.666667]
f_measure
0.805432 [0.97561,0.736842,0.947368,0.926829,0.769231,0.883721,0.424242,0.857143,1,0.533333]
f_measure
0.852929 [1,0.85,0.97561,0.95,0.833333,0.926829,0.604651,0.952381,0.95,0.486486]
f_measure
0.825357 [0.974359,0.761905,0.918919,0.926829,0.888889,0.926829,0.5,0.930233,0.97561,0.45]
f_measure
0.870635 [1,0.769231,0.97561,0.95,0.820513,0.918919,0.697674,0.909091,0.947368,0.717949]
f_measure
0.850142 [1,0.864865,1,0.926829,0.8,0.926829,0.52381,0.909091,1,0.55]
f_measure
0.825526 [0.97561,0.9,0.883721,0.947368,0.857143,0.974359,0.444444,0.883721,0.888889,0.5]
kappa
0.794444
kappa
0.811111
kappa
0.822222
kappa
0.877778
kappa
0.788889
kappa
0.838889
kappa
0.805556
kappa
0.855556
kappa
0.833333
kappa
0.8
kb_relative_information_score
161.313595
kb_relative_information_score
165.440249
kb_relative_information_score
166.547117
kb_relative_information_score
177.028876
kb_relative_information_score
159.970305
kb_relative_information_score
169.610812
kb_relative_information_score
163.326778
kb_relative_information_score
172.861187
kb_relative_information_score
168.627246
kb_relative_information_score
162.352933
mean_absolute_error
0.036985
mean_absolute_error
0.033622
mean_absolute_error
0.031974
mean_absolute_error
0.021923
mean_absolute_error
0.038482
mean_absolute_error
0.029134
mean_absolute_error
0.035147
mean_absolute_error
0.025899
mean_absolute_error
0.03
mean_absolute_error
0.036
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
0.814978 [1,0.73913,0.904762,1,0.818182,1,0.411765,0.9,0.947368,0.428571]
precision
0.833616 [1,0.894737,0.95,0.888889,0.777778,0.782609,0.625,0.857143,1,0.56]
precision
0.843614 [1,0.761905,0.952381,1,0.857143,0.904762,0.5,0.894737,1,0.565217]
precision
0.893673 [1,0.894737,1,0.952381,0.8,1,0.705882,0.947368,1,0.636364]
precision
0.808712 [0.952381,0.777778,1,0.904762,0.789474,0.826087,0.538462,0.818182,1,0.48]
precision
0.854836 [1,0.85,0.952381,0.95,0.9375,0.904762,0.565217,0.909091,0.95,0.529412]
precision
0.830874 [1,0.727273,1,0.904762,1,0.904762,0.5,0.869565,0.952381,0.45]
precision
0.875631 [1,0.789474,0.952381,0.95,0.842105,1,0.652174,0.833333,1,0.736842]
precision
0.856737 [1,0.941176,1,0.904762,0.933333,0.904762,0.5,0.833333,1,0.55]
precision
0.840455 [0.952381,0.9,0.826087,1,1,1,0.4,0.826087,1,0.5]
predictive_accuracy
0.815
predictive_accuracy
0.83
predictive_accuracy
0.84
predictive_accuracy
0.89
predictive_accuracy
0.81
predictive_accuracy
0.855
predictive_accuracy
0.825
predictive_accuracy
0.87
predictive_accuracy
0.85
predictive_accuracy
0.82
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
0.815 [1,0.85,0.95,0.9,0.9,0.95,0.35,0.9,0.9,0.45]
recall
0.83 [1,0.85,0.95,0.8,0.7,0.9,0.5,0.9,1,0.7]
recall
0.84 [1,0.8,1,0.8,0.9,0.95,0.45,0.85,1,0.65]
recall
0.89 [1,0.85,0.95,1,1,0.9,0.6,0.9,1,0.7]
recall
0.81 [1,0.7,0.9,0.95,0.75,0.95,0.35,0.9,1,0.6]
recall
0.855 [1,0.85,1,0.95,0.75,0.95,0.65,1,0.95,0.45]
recall
0.825 [0.95,0.8,0.85,0.95,0.8,0.95,0.5,1,1,0.45]
recall
0.87 [1,0.75,1,0.95,0.8,0.85,0.75,1,0.9,0.7]
recall
0.85 [1,0.8,1,0.95,0.7,0.95,0.55,1,1,0.55]
recall
0.82 [1,0.9,0.95,0.9,0.75,0.95,0.5,0.95,0.8,0.5]
relative_absolute_error
0.205471
relative_absolute_error
0.186791
relative_absolute_error
0.177634
relative_absolute_error
0.121792
relative_absolute_error
0.213787
relative_absolute_error
0.161857
relative_absolute_error
0.195259
relative_absolute_error
0.143882
relative_absolute_error
0.166667
relative_absolute_error
0.199997
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
0.192271
root_mean_squared_error
0.181458
root_mean_squared_error
0.178691
root_mean_squared_error
0.147648
root_mean_squared_error
0.194943
root_mean_squared_error
0.170319
root_mean_squared_error
0.186937
root_mean_squared_error
0.159953
root_mean_squared_error
0.1732
root_mean_squared_error
0.189671
root_relative_squared_error
0.640902
root_relative_squared_error
0.604859
root_relative_squared_error
0.595638
root_relative_squared_error
0.492162
root_relative_squared_error
0.649809
root_relative_squared_error
0.56773
root_relative_squared_error
0.623124
root_relative_squared_error
0.533175
root_relative_squared_error
0.577335
root_relative_squared_error
0.632235
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
174780
usercpu_time_millis
157580
usercpu_time_millis
190540
usercpu_time_millis
201740
usercpu_time_millis
198520
usercpu_time_millis
202740
usercpu_time_millis
195920
usercpu_time_millis
197610
usercpu_time_millis
199400
usercpu_time_millis
197510
usercpu_time_millis_testing
100
usercpu_time_millis_testing
70
usercpu_time_millis_testing
100
usercpu_time_millis_testing
130
usercpu_time_millis_testing
110
usercpu_time_millis_testing
100
usercpu_time_millis_testing
100
usercpu_time_millis_testing
100
usercpu_time_millis_testing
80
usercpu_time_millis_testing
100
usercpu_time_millis_training
174680
usercpu_time_millis_training
157510
usercpu_time_millis_training
190440
usercpu_time_millis_training
201610
usercpu_time_millis_training
198410
usercpu_time_millis_training
202640
usercpu_time_millis_training
195820
usercpu_time_millis_training
197510
usercpu_time_millis_training
199320
usercpu_time_millis_training
197410