OpenML
93730

Run 93730

Task 3886 (Supervised Classification) soybean 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
0.4992
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0018
Cross-validation details (10-fold Crossvalidation)
Build memory
851979780.4041
Cross-validation details (10-fold Crossvalidation)
F measure
0.8021
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0029
Cross-validation details (10-fold Crossvalidation)
KB relative information score
177.9126
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1362
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2339
Cross-validation details (10-fold Crossvalidation)
Number of instances
683
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
0.7486
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8638
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.573
Cross-validation details (10-fold Crossvalidation)
Recall
0.8638
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5822
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3414
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.369
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0808
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
929.8725