OpenML
1664050

Run 1664050

Task 9950 (Supervised Classification) micro-mass Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.PART(4)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(4)_C0.25
weka.PART(4)_M2
weka.PART(4)_Q1

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
0.9048
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7789
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7655
Cross-validation details (10-fold Crossvalidation)
KB relative information score
440.6245
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0229
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0941
Cross-validation details (10-fold Crossvalidation)
Number of instances
571
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7857
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7793
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.208
Cross-validation details (10-fold Crossvalidation)
Recall
0.7793
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2437
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2169
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1454
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6705
Cross-validation details (10-fold Crossvalidation)