Run
21238

Run 21238

Task 31 (Supervised Classification) credit-g Uploaded 18-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(1)_I80
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(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
0.7044
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7405
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3661
Cross-validation details (10-fold Crossvalidation)
KB relative information score
358.0321
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2511
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
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
0.7379
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.75
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.75
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5977
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4937
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0774
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.2276[559.23073532101811008.8769851701059484.3219757802961912.75766683510371745.9505424238596]