DEVELOPMENT... OpenML
Run
8752

Run 8752

Task 29 (Supervised Classification) credit-approval Uploaded 22-05-2014 by Felicia West
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Flow

weka.J48(1)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(1)_C0.25
weka.J48(1)_M10

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
0.8912
Per class
F measure
0.8563
Per class
Kappa
0.7089
KB relative information score
428.578
Mean absolute error
0.2001
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8563
Per class
Predictive accuracy
0.8565
Prior entropy
0.9913
Recall
0.8565
Per class
Relative absolute error
0.4051
Root mean prior squared error
0.497
Root mean squared error
0.3304
Root relative squared error
0.6649
SciMark benchmark
946.3913[557.4434863238911014.9881711071126484.10363182779514910.85475360997441764.5664888040972]