Run
554347

Run 554347

Task 3887 (Supervised Classification) analcatdata_germangss 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
0.8067
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8484
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5678
Cross-validation details (10-fold Crossvalidation)
KB relative information score
160.8331
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2025
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3495
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_66, amd64, Windows 10, 10.0]
Precision
0.8494
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8475
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7716
Cross-validation details (10-fold Crossvalidation)
Recall
0.8475
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5794
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4176
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3468
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8305
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1834.908
UserCPU time millis
15.625
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
15.625
Cross-validation details (10-fold Crossvalidation)