69909
2
Joaquin Vanschoren
265
Supervised Classification
predictive_accuracy
531
weka.Bagging_OneR(2)
804
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 80 -W weka.classifiers.rules.OneR -- -B 6
I
80
531
P
100
531
S
1
531
W
weka.classifiers.rules.OneR
531
num-slots
1
531
B
6
375
35
dermatology
https://www.openml.org/data/download/35/dataset_35_dermatology.arff
-1
198160
description
https://api.openml.org/data/download/198160/weka_generated_run6494055893889230099.xml
-1
198164
model_readable
https://api.openml.org/data/download/198164/WekaModel_weka.classifiers.meta.Bagging987789218716351400.model
-1
198162
model_serialized
https://api.openml.org/data/download/198162/WekaSerialized_weka.classifiers.meta.Bagging8224924679264943681.model
-1
198166
predictions
https://api.openml.org/data/download/198166/weka_generated_predictions1696297478529393686.arff
area_under_roc_curve
0.905999 [0.981868,0.8155,0.955401,0.704889,0.892062,0.988304]
average_cost
0
build_cpu_time
0.024
build_memory
1339832464
f_measure
0.495431 [0.835165,0.37037,0.684211,0,0.148148,0]
kappa
0.454343
kb_relative_information_score
48.665009
mean_absolute_error
0.174132
mean_prior_absolute_error
0.265315
number_of_instances
120 [38,20,26,13,17,6]
os_information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
precision
0.487092 [0.716981,0.714286,0.52,0,0.2,0]
predictive_accuracy
0.591667
prior_entropy
2.437791
recall
0.591667 [1,0.25,1,0,0.117647,0]
relative_absolute_error
0.656321
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.304723
root_relative_squared_error
0.838723
scimark_benchmark
785.910393 [365.3625007698193, 925.0864422320732, 310.24034517516816, 623.2619580433216, 1705.6007180653555]
total_cost
0
area_under_roc_curve
0.905999 [0.981868,0.8155,0.955401,0.704889,0.892062,0.988304]
average_cost
0
build_cpu_time
0.024
build_memory
1339832464
f_measure
0.495431 [0.835165,0.37037,0.684211,0,0.148148,0]
kappa
0.454343
kb_relative_information_score
48.665009
mean_absolute_error
0.174132
mean_prior_absolute_error
0.265315
number_of_instances
120 [38,20,26,13,17,6]
precision
0.487092 [0.716981,0.714286,0.52,0,0.2,0]
predictive_accuracy
0.591667
prior_entropy
2.437791
recall
0.591667 [1,0.25,1,0,0.117647,0]
relative_absolute_error
0.656321
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.304723
root_relative_squared_error
0.838723
total_cost
0