DEVELOPMENT... OpenML
Run
48357

Run 48357

Task 82 (Learning Curve) cmc 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
0.6842 ± 0.0329
Per class
Build CPU time
0.0743
Build memory
2899990305.912
F measure
0.5053 ± 0.0358
Per class
Kappa
0.2328 ± 0.056
KB relative information score
0.2374 ± 0.0341
Mean absolute error
0.3589 ± 0.0143
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5037 ± 0.0365
Per class
Predictive accuracy
0.5078 ± 0.0356
Prior entropy
1.539 ± 0.0028
Recall
0.5078 ± 0.0356
Per class
Relative absolute error
0.833 ± 0.0332
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.4586 ± 0.0143
Root relative squared error
0.9881 ± 0.0308
SciMark benchmark
1729.8248