Run
1815134

Run 1815134

Task 3534 (Supervised Classification) ohscal.wc Uploaded 09-09-2016 by Jan van Rijn
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Flow

weka.MultiBoostAB_REPTree(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.MultiBoostAB_REPTree(3)_C3
weka.MultiBoostAB_REPTree(3)_P100
weka.MultiBoostAB_REPTree(3)_S1
weka.MultiBoostAB_REPTree(3)_I10
weka.MultiBoostAB_REPTree(3)_Wweka.classifiers.trees.REPTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9322
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7333
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6999
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7991.5838
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0582
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1787
Cross-validation details (10-fold Crossvalidation)
Number of instances
11162
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7385
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7317
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2759
Cross-validation details (10-fold Crossvalidation)
Recall
0.7317
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3254
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2111
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7062
Cross-validation details (10-fold Crossvalidation)