Run
549726

Run 549726

Task 3886 (Supervised Classification) soybean Uploaded 08-04-2016 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.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
0.9408
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9594
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8273
Cross-validation details (10-fold Crossvalidation)
KB relative information score
509.6465
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0521
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
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9599
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.959
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.573
Cross-validation details (10-fold Crossvalidation)
Recall
0.959
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2227
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3414
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1874
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5488
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
937.3668
UserCPU time millis
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10-fold Crossvalidation)