Run
87872

Run 87872

Task 3655 (Supervised Classification) elusage Uploaded 03-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B8

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.

21 Evaluation measures

Area under ROC curve
0.7897
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0004
Cross-validation details (10-fold Crossvalidation)
Build memory
131843131.6364
Cross-validation details (10-fold Crossvalidation)
F measure
0.7979
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5876
Cross-validation details (10-fold Crossvalidation)
KB relative information score
32.4694
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4922
Cross-validation details (10-fold Crossvalidation)
Number of instances
55
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8008
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9891
Cross-validation details (10-fold Crossvalidation)
Recall
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4064
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4959
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4472
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9018
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
926.0021