Run
1673932

Run 1673932

Task 9905 (Supervised Classification) autoUniv-au7-700 Uploaded 22-07-2016 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.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_C0.25
weka.J48(33)_M6

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
0.6764
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4863
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2317
Cross-validation details (10-fold Crossvalidation)
KB relative information score
187.8658
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.359
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4437
Cross-validation details (10-fold Crossvalidation)
Number of instances
700
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4848
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4886
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.4886
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8091
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.473
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0043
Cross-validation details (10-fold Crossvalidation)