Run
23865

Run 23865

Task 54 (Supervised Classification) hepatitis Uploaded 28-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I40
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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
0.7585
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8202
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4358
Cross-validation details (10-fold Crossvalidation)
KB relative information score
59.1604
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1721
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3299
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
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
0.8167
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8258
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (10-fold Crossvalidation)
Recall
0.8258
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5216
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4048
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4076
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.007
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
935.4682[567.04832706770641013.3868112175512481.71457151086304909.59057174132591705.6005910675785]