Run
175044

Run 175044

Task 3700 (Supervised Classification) analcatdata_vehicle Uploaded 21-02-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Prism(3)J. Cendrowska (1987). PRISM: An algorithm for inducing modular rules. International Journal of Man-Machine Studies. 27(4):349-370.

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
0.754
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7651
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5217
Cross-validation details (10-fold Crossvalidation)
KB relative information score
25.4937
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2292
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4925
Cross-validation details (10-fold Crossvalidation)
Number of instances
48
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7773
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7708
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9896
Cross-validation details (10-fold Crossvalidation)
Recall
0.7708
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4653
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4961
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4787
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.965
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1466.6185
UserCPU time millis training