DEVELOPMENT... OpenML
Run
14628

Run 14628

Task 29 (Supervised Classification) credit-approval Uploaded 23-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I40
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
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
0.9284
Per class
F measure
0.8612
Per class
Kappa
0.7203
KB relative information score
425.5029
Mean absolute error
0.2021
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
0.8633
Per class
Predictive accuracy
0.8609
Prior entropy
0.9913
Recall
0.8609
Per class
Relative absolute error
0.4091
Root mean prior squared error
0.497
Root mean squared error
0.3179
Root relative squared error
0.6396
SciMark benchmark
946.15[560.12864292244511015.7907504114269484.3219757802961912.7575910626911757.7512505720342]