DEVELOPMENT... OpenML
Run
24868

Run 24868

Task 29 (Supervised Classification) credit-approval Uploaded 18-07-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_JRip(1)_I40
weka.AdaBoostM1_JRip(1)_P100
weka.AdaBoostM1_JRip(1)_S1
weka.AdaBoostM1_JRip(1)_Wweka.classifiers.rules.JRip
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1

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
0.9122
Per class
F measure
0.8651
Per class
Kappa
0.7269
KB relative information score
480.9873
Mean absolute error
0.1522
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
0.8651
Per class
Predictive accuracy
0.8652
Prior entropy
0.9913
Recall
0.8652
Per class
Relative absolute error
0.3081
Root mean prior squared error
0.497
Root mean squared error
0.3411
Root relative squared error
0.6864
SciMark benchmark
595.0656[346.3543919684257901.2885863823998243.0380004791305526.1822694175953958.4649661650362]