Run
492

Run 492

Task 29 (Supervised Classification) credit-approval Uploaded 07-04-2014 by Jan van Rijn
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Flow

weka.REPTree(1)Weka implementation of REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8756
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8468
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6922
Cross-validation details (10-fold Crossvalidation)
KB relative information score
399.0291
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2235
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.8509
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8464
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8464
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4524
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3464
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6971
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2019.5187