DEVELOPMENT... OpenML
Run
492

Run 492

Task 29 (Supervised Classification) credit-approval Uploaded 07-04-2014 by Jason
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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
F measure
0.8468
Per class
Kappa
0.6922
KB relative information score
399.0291
Mean absolute error
0.2235
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.8509
Per class
Predictive accuracy
0.8464
Prior entropy
0.9913
Recall
0.8464
Per class
Relative absolute error
0.4524
Root mean prior squared error
0.497
Root mean squared error
0.3464
Root relative squared error
0.6971
SciMark benchmark
2019.5187