Run
23146

Run 23146

Task 57 (Supervised Classification) ionosphere Uploaded 24-06-2014 by Joaquin Vanschoren
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Flow

weka.ClassificationViaRegression_M5P(1)E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
weka.ClassificationViaRegression_M5P(1)_Wweka.classifiers.trees.M5P
weka.M5P(1)_M4.0

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.

17 Evaluation measures

Area under ROC curve
0.9168
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8743
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7227
Cross-validation details (10-fold Crossvalidation)
KB relative information score
229.4054
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.165
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8799
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8775
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8775
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3584
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3052
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6363
Cross-validation details (10-fold Crossvalidation)