DEVELOPMENT... OpenML
Run
48345

Run 48345

Task 2102 (Learning Curve) eucalyptus 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
0.8602 ± 0.0226
Per class
Build CPU time
0.0496
Build memory
2250624854.1
F measure
0.5699 ± 0.0561
Per class
Kappa
0.4502 ± 0.0723
KB relative information score
0.4512 ± 0.0308
Mean absolute error
0.2051 ± 0.0088
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.571 ± 0.055
Per class
Predictive accuracy
0.5734 ± 0.0567
Prior entropy
2.2621 ± 0.0043
Recall
0.5734 ± 0.0567
Per class
Relative absolute error
0.6549 ± 0.0278
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3279 ± 0.0125
Root relative squared error
0.8287 ± 0.0314
SciMark benchmark
1655.4655