DEVELOPMENT... OpenML
Run
24001

Run 24001

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

weka.Bagging_IBk(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_IBk(1)_I40
weka.Bagging_IBk(1)_P100
weka.Bagging_IBk(1)_S1
weka.Bagging_IBk(1)_Wweka.classifiers.lazy.IBk
weka.Bagging_IBk(1)_num-slots1
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

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.

17 Evaluation measures

Area under ROC curve
0.8979
Per class
F measure
0.8169
Per class
Kappa
0.6286
KB relative information score
425.6647
Mean absolute error
0.1916
Mean prior absolute error
0.494
Number of instances
690
Per class
Precision
0.8171
Per class
Predictive accuracy
0.8174
Prior entropy
0.9913
Recall
0.8174
Per class
Relative absolute error
0.3878
Root mean prior squared error
0.497
Root mean squared error
0.3632
Root relative squared error
0.7308