Run
701

Run 701

Task 70 (Learning Curve) balance-scale Uploaded 08-04-2014 by Jan van Rijn
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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
0.9343 ± 0.0218
Per class
F measure
0.8038 ± 0.0378
Per class
Kappa
0.6957 ± 0.0706
KB relative information score
0.5175 ± 0.0482
Mean absolute error
0.1824 ± 0.0188
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7748 ± 0.0368
Per class
Predictive accuracy
0.8352 ± 0.0386
Prior entropy
1.3181 ± 0.0119
Recall
0.8352 ± 0.0386
Per class
Relative absolute error
0.4802 ± 0.0494
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2839 ± 0.0221
Root relative squared error
0.6517 ± 0.0504
SciMark benchmark
978.753