Run
23966

Run 23966

Task 31 (Supervised Classification) credit-g Uploaded 29-06-2014 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
0.7744
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.75
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3872
Cross-validation details (10-fold Crossvalidation)
KB relative information score
384.641
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.242
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
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
0.7489
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.761
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.761
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.576
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4622
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0086
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.8661[567.23271965926381015.7906865781697484.1035797902428897.75340120097631759.4501199261804]