Run
21706

Run 21706

Task 2 (Supervised Classification) anneal Uploaded 19-06-2014 by Joaquin Vanschoren
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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)_I80
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
0.9636
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.801
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5021
Cross-validation details (10-fold Crossvalidation)
KB relative information score
407.4713
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0886
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.8404
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8497
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.8497
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6597
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1827
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7074
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
918.2848[530.971261621422960.5958109250668449.64062766091763909.27509318503251740.9414049179838]