Run
639

Run 639

Task 88 (Learning Curve) credit-approval Uploaded 07-04-2014 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
0.9195 ± 0.0331
Per class
F measure
0.8548 ± 0.0366
Per class
Kappa
0.707 ± 0.0738
KB relative information score
0.6109 ± 0.0532
Mean absolute error
0.204 ± 0.0247
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.8562 ± 0.0364
Per class
Predictive accuracy
0.8545 ± 0.0367
Prior entropy
0.9912 ± 0.0021
Recall
0.8545 ± 0.0367
Per class
Relative absolute error
0.4129 ± 0.05
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3247 ± 0.0355
Root relative squared error
0.6535 ± 0.0714
SciMark benchmark
714.5219