DEVELOPMENT... OpenML
Run
23146

Run 23146

Task 57 (Supervised Classification) ionosphere Uploaded 24-06-2014 by Felicia West
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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
F measure
0.8743
Per class
Kappa
0.7227
KB relative information score
229.4054
Mean absolute error
0.165
Mean prior absolute error
0.4604
Number of instances
351
Per class
Precision
0.8799
Per class
Predictive accuracy
0.8775
Prior entropy
0.9425
Recall
0.8775
Per class
Relative absolute error
0.3584
Root mean prior squared error
0.4797
Root mean squared error
0.3052
Root relative squared error
0.6363