Run
1815003

Run 1815003

Task 3518 (Supervised Classification) tr45.wc Uploaded 08-09-2016 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
0.9928
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9228
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9121
Cross-validation details (10-fold Crossvalidation)
KB relative information score
625.6094
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0153
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.172
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9247
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9246
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.0415
Cross-validation details (10-fold Crossvalidation)
Recall
0.9246
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0891
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2932
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1156
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3944
Cross-validation details (10-fold Crossvalidation)