DEVELOPMENT... OpenML
Run
192

Run 192

Task 11 (Supervised Classification) balance-scale Uploaded 07-04-2014 by Jason
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I10
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
0.9365
Per class
F measure
0.8141
Per class
Kappa
0.7161
KB relative information score
327.688
Mean absolute error
0.1793
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.7849
Per class
Predictive accuracy
0.8464
Prior entropy
1.3212
Recall
0.8464
Per class
Relative absolute error
0.4721
Root mean prior squared error
0.4356
Root mean squared error
0.2789
Root relative squared error
0.6403
SciMark benchmark
2011.7015