Run
21954

Run 21954

Task 54 (Supervised Classification) hepatitis Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I20
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_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
0.7039
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7987
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3653
Cross-validation details (10-fold Crossvalidation)
KB relative information score
45.2062
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1971
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
0.794
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8065
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (10-fold Crossvalidation)
Recall
0.8065
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5974
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4048
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4299
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0621
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.8818[566.12811561982711009.1411391007196477.2185884444444895.30055461308191756.6205822745662]