Run
18983

Run 18983

Task 42 (Supervised Classification) haberman Uploaded 11-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(1)_I20
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.6112
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6393
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.056
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1.2099
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3537
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.39
Cross-validation details (10-fold Crossvalidation)
Number of instances
306
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
0.6327
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6471
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.836
Cross-validation details (10-fold Crossvalidation)
Recall
0.6471
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9069
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4412
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5771
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3082
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
921.5107[547.4703642434524989.450586616758469.08772734606856889.52832583882961712.0166882040603]