DEVELOPMENT... OpenML
Run
47254

Run 47254

Task 1728 (Learning Curve) credit-approval Uploaded 05-11-2014 by Jason
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(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
0.9294 ± 0.0386
Per class
Build CPU time
0.3131
Build memory
732212750.6
F measure
0.8708 ± 0.0314
Per class
Kappa
0.7381 ± 0.0641
KB relative information score
0.5615 ± 0.0574
Mean absolute error
0.2355 ± 0.026
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8709 ± 0.0312
Per class
Predictive accuracy
0.871 ± 0.0309
Prior entropy
0.9912 ± 0.0022
Recall
0.871 ± 0.0309
Per class
Relative absolute error
0.4767 ± 0.0529
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3207 ± 0.0394
Root relative squared error
0.6452 ± 0.0795
SciMark benchmark
1558.6647