Run
1741509

Run 1741509

Task 9906 (Supervised Classification) autoUniv-au7-1100 Uploaded 24-07-2016 by Jan van Rijn
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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
0.6896
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3775
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2229
Cross-validation details (10-fold Crossvalidation)
KB relative information score
223.4427
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2852
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3154
Cross-validation details (10-fold Crossvalidation)
Number of instances
1100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3904
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3945
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.281
Cross-validation details (10-fold Crossvalidation)
Recall
0.3945
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9041
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3971
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.38
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9568
Cross-validation details (10-fold Crossvalidation)