Run
1739471

Run 1739471

Task 3512 (Supervised Classification) synthetic_control 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
0.9913
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9171
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9
Cross-validation details (10-fold Crossvalidation)
KB relative information score
511.5117
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0634
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2778
Cross-validation details (10-fold Crossvalidation)
Number of instances
600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9198
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9167
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9167
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2283
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3727
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1572
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4217
Cross-validation details (10-fold Crossvalidation)