DEVELOPMENT... OpenML
Run
48374

Run 48374

Task 90 (Learning Curve) credit-g Uploaded 05-11-2014 by Jason
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  • curves weka weka_3.7.12-SNAPSHOT
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Flow

weka.RandomForest(2)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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
0.7786 ± 0.0531
Per class
Build CPU time
0.0684
Build memory
1828961379.1556
F measure
0.7418 ± 0.0429
Per class
Kappa
0.3614 ± 0.1073
KB relative information score
0.185 ± 0.0512
Mean absolute error
0.3404 ± 0.0166
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7472 ± 0.0467
Per class
Predictive accuracy
0.7608 ± 0.0375
Prior entropy
0.8813
Recall
0.7608 ± 0.0375
Per class
Relative absolute error
0.8101 ± 0.0396
Root mean prior squared error
0.4583
Root mean squared error
0.4077 ± 0.0192
Root relative squared error
0.8897 ± 0.042
SciMark benchmark
1794.5417