Run
19485

Run 19485

Task 1 (Supervised Classification) anneal Uploaded 16-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_NaiveBayes(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_NaiveBayes(1)_I20
weka.AdaBoostM1_NaiveBayes(1)_P100
weka.AdaBoostM1_NaiveBayes(1)_S1
weka.AdaBoostM1_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

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
0.9893
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9478
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.872
Cross-validation details (10-fold Crossvalidation)
KB relative information score
766.5883
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0194
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
0.9551
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9454
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9454
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1447
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1179
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4564
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
925.8492[544.3947072648879987.4225304983287468.67825222527443880.56432706736421748.1861790736805]