Run
554292

Run 554292

Task 3833 (Supervised Classification) analcatdata_authorship Uploaded 10-04-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9449
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9384
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8692
Cross-validation details (10-fold Crossvalidation)
KB relative information score
718.3795
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0685
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4698
Cross-validation details (10-fold Crossvalidation)
Number of instances
841
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.9388
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9382
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9561
Cross-validation details (10-fold Crossvalidation)
Recall
0.9382
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1458
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4846
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2426
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5007
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1834.908
UserCPU time millis
46.875
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
15.625
UserCPU time millis training
31.25
Cross-validation details (10-fold Crossvalidation)