DEVELOPMENT... OpenML
Run
47297

Run 47297

Task 2097 (Learning Curve) satimage Uploaded 05-11-2014 by Jason
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  • curves 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
0.9922 ± 0.0016
Per class
Build CPU time
5.2059
Build memory
827480810.8571
F measure
0.9133 ± 0.0133
Per class
Kappa
0.8959 ± 0.0164
KB relative information score
0.8582 ± 0.0077
Mean absolute error
0.0556 ± 0.002
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9139 ± 0.0143
Per class
Predictive accuracy
0.916 ± 0.0132
Prior entropy
2.4834 ± 0.0009
Recall
0.916 ± 0.0132
Per class
Relative absolute error
0.2058 ± 0.0074
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1489 ± 0.0061
Root relative squared error
0.4053 ± 0.0165
SciMark benchmark
1932.1045