Run
16009

Run 16009

Task 27 (Supervised Classification) colic Uploaded 04-06-2014 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)_I40
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
0.862
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8261
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6268
Cross-validation details (10-fold Crossvalidation)
KB relative information score
225.854
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1744
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
0.8261
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8261
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8261
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3741
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4087
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8466
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.8346[553.90304194664651013.9200573100866483.6674820550281906.13207810932491751.5501218345944]