Run
21039

Run 21039

Task 42 (Supervised Classification) haberman Uploaded 18-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(1)_I10
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.6173
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6533
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1008
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3.4982
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3493
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
0.65
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6569
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.836
Cross-validation details (10-fold Crossvalidation)
Recall
0.6569
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8956
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4412
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5807
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3162
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.4697[556.7317897675096998.9399207242031473.6399836662232889.83032039946191733.2063769163399]