Run
549638

Run 549638

Task 3770 (Supervised Classification) chscase_census4 Uploaded 08-04-2016 by Jan van Rijn
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Flow

weka.JRip(5)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(5)_F3
weka.JRip(5)_N2.0
weka.JRip(5)_O2
weka.JRip(5)_S1

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
0.4597
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4449
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0908
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-6.5558
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5059
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4996
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.4505
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.46
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9994
Cross-validation details (10-fold Crossvalidation)
Recall
0.46
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0127
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4998
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5146
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0296
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
999.5206
UserCPU time millis
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
40
Cross-validation details (10-fold Crossvalidation)