Run
65238

Run 65238

Task 1728 (Learning Curve) credit-approval Uploaded 20-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_BFTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.Bagging_BFTree(2)_I10
weka.Bagging_BFTree(2)_P100
weka.Bagging_BFTree(2)_S1
weka.Bagging_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.Bagging_BFTree(2)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9243 ± 0.0454
Per class
Build CPU time
0.2813
Build memory
2165739214.2
F measure
0.8524 ± 0.0571
Per class
Kappa
0.7021 ± 0.1154
KB relative information score
0.6402 ± 0.0799
Mean absolute error
0.1861 ± 0.0368
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8534 ± 0.0572
Per class
Predictive accuracy
0.8522 ± 0.0571
Prior entropy
0.9912 ± 0.0022
Recall
0.8522 ± 0.0571
Per class
Relative absolute error
0.3768 ± 0.0747
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3227 ± 0.0559
Root relative squared error
0.6493 ± 0.1127
SciMark benchmark
1885.6155