DEVELOPMENT... OpenML
Run
20208

Run 20208

Task 29 (Supervised Classification) credit-approval Uploaded 18-06-2014 by Felicia West
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Flow

weka.Bagging_NaiveBayes(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(1)_I160
weka.Bagging_NaiveBayes(1)_P100
weka.Bagging_NaiveBayes(1)_S1
weka.Bagging_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes
weka.Bagging_NaiveBayes(1)_num-slots1

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
0.8972
Per class
F measure
0.7707
Per class
Kappa
0.5375
KB relative information score
377.4151
Mean absolute error
0.2227
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
0.7933
Per class
Predictive accuracy
0.7783
Prior entropy
0.9913
Recall
0.7783
Per class
Relative absolute error
0.4508
Root mean prior squared error
0.497
Root mean squared error
0.427
Root relative squared error
0.8592
SciMark benchmark
940.151[527.12016680470971015.52310425331485.1973770046736914.03067367712611758.8835103978397]