DEVELOPMENT... OpenML
Run
75169

Run 75169

Task 29 (Supervised Classification) credit-approval Uploaded 01-12-2014 by Felicia West
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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
0.9311
Per class
Build CPU time
1.5694
Build memory
579878383.2
F measure
0.8652
Per class
Kappa
0.7272
KB relative information score
388.099
Mean absolute error
0.235
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8653
Per class
Predictive accuracy
0.8652
Prior entropy
0.9913
Recall
0.8652
Per class
Relative absolute error
0.4758
Root mean prior squared error
0.497
Root mean squared error
0.3191
Root relative squared error
0.6422
SciMark benchmark
785.9104