Run
21117

Run 21117

Task 2076 (Supervised Classification) kropt Uploaded 18-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_OneR(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_OneR(1)_I10
weka.AdaBoostM1_OneR(1)_P100
weka.AdaBoostM1_OneR(1)_S1
weka.AdaBoostM1_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.5596
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1587
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1195
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4718.0317
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0836
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0995
Cross-validation details (10-fold Crossvalidation)
Number of instances
28056
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.121
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.248
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.248
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8396
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2891
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2959
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
929.3804[545.7574205223173997.9052375505228469.08772734606856899.29332223166991734.8581099187907]