Run
260328

Run 260328

Task 3564 (Supervised Classification) analcatdata_germangss Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_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
0.675
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3212
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.19
Cross-validation details (10-fold Crossvalidation)
KB relative information score
70.7944
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3383
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.375
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.3257
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3925
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2
Cross-validation details (10-fold Crossvalidation)
Recall
0.3925
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9021
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.433
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4156
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9598
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1301.2156
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)