Run
166353

Run 166353

Task 59 (Supervised Classification) iris Uploaded 18-02-2015 by Joaquin Vanschoren
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Flow

weka.MODLEM(3)Jerzy Stefanowski: The rough set based rule induction technique for classification problems. In: 6th European Congress on Intelligent Techniques and Soft Computing, 109-113, 1998.
weka.MODLEM(3)_RT1
weka.MODLEM(3)_CM1
weka.MODLEM(3)_CS8
weka.MODLEM(3)_AS0

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
0.975
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.95
Cross-validation details (10-fold Crossvalidation)
KB relative information score
143.1546
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0222
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.10.2]
Precision
0.9668
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.05
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1491
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3162
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1289.6995
UserCPU time millis
6.189
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
3.1
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
3.089
Cross-validation details (10-fold Crossvalidation)