Run
21352

Run 21352

Task 27 (Supervised Classification) colic Uploaded 19-06-2014 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
0.8623
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.837
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6501
Cross-validation details (10-fold Crossvalidation)
KB relative information score
233.8776
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1649
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.837
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.837
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.837
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3537
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4016
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8321
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.5384[568.34168678655021014.9881711071126483.667533998868907.70082742804311767.9939646936223]