Run
93858

Run 93858

Task 3705 (Supervised Classification) autoHorse Uploaded 08-12-2014 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)_B6

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
0.8911
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.001
Cross-validation details (10-fold Crossvalidation)
Build memory
61445120
Cross-validation details (10-fold Crossvalidation)
F measure
0.9015
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7944
Cross-validation details (10-fold Crossvalidation)
KB relative information score
162.7656
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0976
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4821
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
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
0.9035
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9024
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9742
Cross-validation details (10-fold Crossvalidation)
Recall
0.9024
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2024
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4909
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3123
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6363
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.4022