Run
477440

Run 477440

Task 4 (Supervised Classification) labor 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
0.7176
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7832
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5156
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21.1071
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2927
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.457
Cross-validation details (10-fold Crossvalidation)
Number of instances
57
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
0.7856
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7895
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.7895
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6405
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4278
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8964
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1094.0306
UserCPU time millis
7.885
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1.648
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
6.237
Cross-validation details (10-fold Crossvalidation)