Run
6042831

Run 6042831

Task 2076 (Supervised Classification) kropt Uploaded 23-07-2017 by Miguel Cachada
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Flow

weka.PART(6)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(6)_C0.25
weka.PART(6)_M2
weka.PART(6)_Btrue
weka.PART(6)_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
0.9271
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7444
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7151
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21150.268
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0311
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0995
Cross-validation details (10-fold Crossvalidation)
Number of instances
28056
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.744
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7449
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.7449
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.312
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1499
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6721
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1836.2901
UserCPU time millis
13650
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1870
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
11780
Cross-validation details (10-fold Crossvalidation)