DEVELOPMENT... OpenML
Run
48416

Run 48416

Task 1722 (Learning Curve) cmc 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.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
0.6862 ± 0.0245
Per class
Build CPU time
0.0678
Build memory
2383243805.84
F measure
0.5081 ± 0.027
Per class
Kappa
0.2374 ± 0.0426
KB relative information score
0.2397 ± 0.0257
Mean absolute error
0.3583 ± 0.0104
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5063 ± 0.0277
Per class
Predictive accuracy
0.5112 ± 0.0272
Prior entropy
1.539 ± 0.0029
Recall
0.5112 ± 0.0272
Per class
Relative absolute error
0.8317 ± 0.0245
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4571 ± 0.0103
Root relative squared error
0.9849 ± 0.0227
SciMark benchmark
1655.4655