Run
1741425

Run 1741425

Task 9903 (Supervised Classification) autoUniv-au7-500 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
0.7264
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4627
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3135
Cross-validation details (10-fold Crossvalidation)
KB relative information score
115.0097
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2598
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2996
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.462
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.516
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1516
Cross-validation details (10-fold Crossvalidation)
Recall
0.516
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8671
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3618
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.935
Cross-validation details (10-fold Crossvalidation)