DEVELOPMENT... OpenML
Run
48411

Run 48411

Task 1713 (Learning Curve) mfeat-fourier 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
0.9833 ± 0.0027
Per class
Build CPU time
0.3786
Build memory
3594911529.9636
F measure
0.8353 ± 0.0229
Per class
Kappa
0.8183 ± 0.0253
KB relative information score
0.7568 ± 0.0085
Mean absolute error
0.0732 ± 0.0016
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8356 ± 0.0236
Per class
Predictive accuracy
0.8365 ± 0.0227
Prior entropy
3.3219
Recall
0.8365 ± 0.0227
Per class
Relative absolute error
0.4066 ± 0.0088
Root mean prior squared error
0.3
Root mean squared error
0.164 ± 0.0032
Root relative squared error
0.5466 ± 0.0106
SciMark benchmark
1729.8248