Run
16457

Run 16457

Task 42 (Supervised Classification) haberman Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LADTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LADTree(1)_B10
weka.MultiBoostAB_LADTree(1)_C3
weka.MultiBoostAB_LADTree(1)_I80
weka.MultiBoostAB_LADTree(1)_P100
weka.MultiBoostAB_LADTree(1)_S1
weka.MultiBoostAB_LADTree(1)_Wweka.classifiers.trees.LADTree

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
0.6497
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6694
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1151
Cross-validation details (10-fold Crossvalidation)
KB relative information score
33.5034
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3157
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.39
Cross-validation details (10-fold Crossvalidation)
Number of instances
306
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
0.6581
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6895
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.836
Cross-validation details (10-fold Crossvalidation)
Recall
0.6895
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8095
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4412
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5436
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2323
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
909.7737[567.60186484084651015.7907504114269480.2065271424506912.75766683510371572.5117349124107]