OpenML
1741630

Run 1741630

Task 9952 (Supervised Classification) phoneme Uploaded 24-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ClassificationViaRegression_M5P(3)E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
weka.M5P(4)_M4.0
weka.ClassificationViaRegression_M5P(3)_Wweka.classifiers.trees.M5P

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
0.9228
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8597
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6595
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2762.195
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2035
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8591
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8607
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8607
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4907
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3159
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6938
Cross-validation details (10-fold Crossvalidation)