Run
477445

Run 477445

Task 1 (Supervised Classification) anneal Uploaded 30-11-2015 by Bingchen Li
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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.

22 Evaluation measures

Area under ROC curve
0.9896
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9821
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9554
Cross-validation details (10-fold Crossvalidation)
KB relative information score
831.0417
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0064
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Apple Inc., 1.6.0_65, x86_64, Mac OS X, 10.10.5]
Precision
0.9821
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9822
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9822
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.048
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0754
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2922
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1094.0306
UserCPU time millis
25.143
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
3.224
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
21.919
Cross-validation details (10-fold Crossvalidation)