153
1
Jan van Rijn
32
Supervised Classification
76
weka.Bagging_REPTree(1)
17
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
I
10
76
P
100
76
S
1
76
W
weka.classifiers.trees.REPTree
76
num-slots
1
76
I
0.0
61
L
-1
61
M
2
61
N
3
61
S
1
61
V
0.001
61
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
367
description
https://api.openml.org/data/download/367/weka_generated_run1990129225715798917.xml
-1
368
predictions
https://api.openml.org/data/download/368/weka_generated_predictions2668239606788246957.arff
area_under_roc_curve
0.999188 [0.998793,0.998856,0.999377,0.998882,0.999909,0.998781,0.999116,0.99915,0.999592,0.999411]
average_cost
0
f_measure
0.978722 [0.986831,0.960879,0.970614,0.980076,0.991692,0.982857,0.990512,0.974989,0.973101,0.976371]
kappa
0.976342
kb_relative_information_score
10550.871095
mean_absolute_error
0.013452
mean_prior_absolute_error
0.179968
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
os_information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
precision
0.978776 [0.990308,0.965548,0.959829,0.981007,0.992126,0.98756,0.992395,0.977133,0.968985,0.97361]
predictive_accuracy
0.978712
prior_entropy
3.320774
recall
0.978712 [0.983377,0.956255,0.981643,0.979147,0.991259,0.978199,0.988636,0.972855,0.977251,0.979147]
relative_absolute_error
0.074748
root_mean_prior_squared_error
0.299973
root_mean_squared_error
0.065161
root_relative_squared_error
0.217224
scimark_benchmark
1984.8086673352925 [ 1240.1284482551685, 1616.573112277644, 909.565357620422, 1683.107538988326, 4474.668879534902 ]
total_cost
0
area_under_roc_curve
0.999112 [0.994098,0.999093,0.999461,0.999962,0.999973,0.999981,0.999934,0.999813,0.999611,0.999487]
area_under_roc_curve
0.99901 [0.998711,0.998292,0.998711,0.998847,0.999964,0.99821,0.999516,0.999884,0.998723,0.999203]
area_under_roc_curve
0.99855 [0.999059,0.999394,0.999041,0.997245,1,0.992733,0.999789,0.999903,0.999454,0.998461]
area_under_roc_curve
0.998862 [0.999902,0.998347,0.999635,0.999722,0.999973,0.999316,0.992637,0.99916,0.99978,0.999904]
area_under_roc_curve
0.999616 [1,0.997879,0.99951,0.999743,1,0.999924,0.999684,0.999679,0.999885,0.999952]
area_under_roc_curve
0.999658 [0.998593,0.99992,0.999751,0.999981,0.999947,0.999648,0.999981,0.999475,0.999531,0.999799]
area_under_roc_curve
0.999335 [0.998526,0.999626,0.99967,0.999221,0.999381,0.999572,0.999962,0.998384,0.999645,0.999444]
area_under_roc_curve
0.999544 [0.999991,0.998718,0.999092,0.999686,0.999786,0.999829,0.999838,0.999127,1,0.999444]
area_under_roc_curve
0.998945 [0.999991,0.998936,0.99976,0.995758,1,0.99886,1,0.996856,0.999886,0.999344]
area_under_roc_curve
0.999528 [0.99992,0.998339,0.999236,0.999789,1,0.999981,1,0.999528,0.999857,0.998689]
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
0.588
build_cpu_time
0.575
build_cpu_time
0.572
build_cpu_time
0.664
build_cpu_time
0.568
build_cpu_time
0.573
build_cpu_time
0.572
build_cpu_time
0.571
build_cpu_time
0.573
build_cpu_time
0.578
f_measure
0.980992 [0.987013,0.947826,0.965812,0.995215,0.995595,0.990476,0.990476,0.973684,0.976303,0.990476]
f_measure
0.970926 [0.964286,0.959641,0.953586,0.976077,0.9869,0.971429,0.981132,0.991228,0.967442,0.957746]
f_measure
0.979152 [0.995633,0.969163,0.974359,0.971154,1,0.975845,0.995215,0.982456,0.953704,0.971698]
f_measure
0.978187 [0.991228,0.948276,0.973451,0.975845,0.991304,0.995305,0.985507,0.965217,0.976744,0.980952]
f_measure
0.981812 [0.991304,0.956522,0.969432,0.981308,0.995633,0.985782,0.990385,0.982456,0.976077,0.990476]
f_measure
0.983613 [0.991228,0.982906,0.977974,0.995261,0.991379,0.990476,0.990476,0.95614,0.971154,0.990476]
f_measure
0.974555 [0.982456,0.964912,0.978355,0.981132,0.9869,0.976303,0.995305,0.977778,0.961538,0.938967]
f_measure
0.975376 [0.995633,0.941704,0.961039,0.971698,0.977778,0.981132,0.985915,0.974138,0.995261,0.971429]
f_measure
0.982682 [0.99115,0.977974,0.978355,0.981132,1,0.970588,0.995305,0.973214,0.976959,0.981481]
f_measure
0.979905 [0.977778,0.959276,0.974359,0.971963,0.991304,0.990566,0.995305,0.973684,0.976077,0.990566]
kappa
0.978783
kappa
0.967672
kappa
0.976742
kappa
0.97573
kappa
0.979775
kappa
0.981797
kappa
0.971687
kappa
0.972698
kappa
0.980788
kappa
0.977754
kb_relative_information_score
1058.566962
kb_relative_information_score
1047.23309
kb_relative_information_score
1053.189683
kb_relative_information_score
1056.860515
kb_relative_information_score
1057.470801
kb_relative_information_score
1058.295947
kb_relative_information_score
1055.458693
kb_relative_information_score
1051.772615
kb_relative_information_score
1056.836092
kb_relative_information_score
1055.186697
mean_absolute_error
0.012863
mean_absolute_error
0.015132
mean_absolute_error
0.013918
mean_absolute_error
0.012732
mean_absolute_error
0.01303
mean_absolute_error
0.01276
mean_absolute_error
0.013088
mean_absolute_error
0.01411
mean_absolute_error
0.0131
mean_absolute_error
0.01379
mean_prior_absolute_error
0.179968
mean_prior_absolute_error
0.179968
mean_prior_absolute_error
0.179966
mean_prior_absolute_error
0.179966
mean_prior_absolute_error
0.179967
mean_prior_absolute_error
0.179967
mean_prior_absolute_error
0.179969
mean_prior_absolute_error
0.17997
mean_prior_absolute_error
0.17997
mean_prior_absolute_error
0.179969
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1099 [115,114,115,105,114,105,105,115,105,106]
number_of_instances
1099 [114,115,114,105,115,106,105,115,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,114,114,106,115,106,106,114,105,105]
number_of_instances
1099 [114,114,114,106,114,106,106,114,106,105]
number_of_instances
1099 [114,114,114,106,114,105,106,114,106,106]
number_of_instances
1099 [114,114,115,105,114,105,106,114,106,106]
precision
0.981201 [0.982759,0.939655,0.94958,1,1,0.990476,1,0.973684,0.980952,1]
precision
0.971411 [0.990826,0.981651,0.92623,0.980769,0.982609,0.971429,0.981132,0.991228,0.954128,0.953271]
precision
0.979516 [1,0.973451,0.957983,0.980583,1,0.990196,1,0.99115,0.927928,0.971698]
precision
0.978427 [0.991228,0.940171,0.982143,0.990196,0.991304,0.990654,1,0.965217,0.954545,0.980952]
precision
0.981889 [0.982759,0.956522,0.965217,0.972222,1,0.990476,1,0.982456,0.980769,0.990476]
precision
0.983723 [0.991228,0.966387,0.982301,1,0.982906,1,0.990476,0.95614,0.980583,0.990476]
precision
0.974723 [0.982456,0.964912,0.965812,0.981132,0.991228,0.980952,0.990654,0.990991,0.970874,0.925926]
precision
0.97556 [0.991304,0.963303,0.948718,0.971698,0.990991,0.981132,0.981308,0.957627,1,0.971429]
precision
0.983101 [1,0.982301,0.965812,0.981132,1,1,0.990654,0.990909,0.954955,0.963636]
precision
0.980265 [0.990991,0.990654,0.957983,0.954128,0.982759,0.981308,0.990654,0.973684,0.990291,0.990566]
predictive_accuracy
0.980909
predictive_accuracy
0.970909
predictive_accuracy
0.979072
predictive_accuracy
0.978162
predictive_accuracy
0.981802
predictive_accuracy
0.983621
predictive_accuracy
0.974522
predictive_accuracy
0.975432
predictive_accuracy
0.982712
predictive_accuracy
0.979982
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
recall
0.980909 [0.991304,0.95614,0.982609,0.990476,0.991228,0.990476,0.981132,0.973684,0.971698,0.981132]
recall
0.970909 [0.93913,0.938596,0.982609,0.971429,0.991228,0.971429,0.981132,0.991228,0.981132,0.962264]
recall
0.979072 [0.991304,0.964912,0.991304,0.961905,1,0.961905,0.990476,0.973913,0.980952,0.971698]
recall
0.978162 [0.991228,0.956522,0.964912,0.961905,0.991304,1,0.971429,0.965217,1,0.980952]
recall
0.981802 [1,0.956522,0.973684,0.990566,0.991304,0.981132,0.980952,0.982456,0.971429,0.990476]
recall
0.983621 [0.991228,1,0.973684,0.990566,1,0.981132,0.990476,0.95614,0.961905,0.990476]
recall
0.974522 [0.982456,0.964912,0.991228,0.981132,0.982609,0.971698,1,0.964912,0.952381,0.952381]
recall
0.975432 [1,0.921053,0.973684,0.971698,0.964912,0.981132,0.990566,0.991228,0.990566,0.971429]
recall
0.982712 [0.982456,0.973684,0.991228,0.981132,1,0.942857,1,0.95614,1,1]
recall
0.979982 [0.964912,0.929825,0.991304,0.990476,1,1,1,0.973684,0.962264,0.990566]
relative_absolute_error
0.071473
relative_absolute_error
0.084079
relative_absolute_error
0.077337
relative_absolute_error
0.070749
relative_absolute_error
0.072402
relative_absolute_error
0.070901
relative_absolute_error
0.072722
relative_absolute_error
0.078399
relative_absolute_error
0.072789
relative_absolute_error
0.076623
root_mean_prior_squared_error
0.299973
root_mean_prior_squared_error
0.299973
root_mean_prior_squared_error
0.29997
root_mean_prior_squared_error
0.29997
root_mean_prior_squared_error
0.299972
root_mean_prior_squared_error
0.299972
root_mean_prior_squared_error
0.299974
root_mean_prior_squared_error
0.299977
root_mean_prior_squared_error
0.299977
root_mean_prior_squared_error
0.299974
root_mean_squared_error
0.062774
root_mean_squared_error
0.073542
root_mean_squared_error
0.066191
root_mean_squared_error
0.064271
root_mean_squared_error
0.062242
root_mean_squared_error
0.060791
root_mean_squared_error
0.065999
root_mean_squared_error
0.067505
root_mean_squared_error
0.062616
root_mean_squared_error
0.064771
root_relative_squared_error
0.209264
root_relative_squared_error
0.245161
root_relative_squared_error
0.220658
root_relative_squared_error
0.21426
root_relative_squared_error
0.207491
root_relative_squared_error
0.202655
root_relative_squared_error
0.220016
root_relative_squared_error
0.225033
root_relative_squared_error
0.208738
root_relative_squared_error
0.215923
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