DEVELOPMENT... OpenML
Run
48347

Run 48347

Task 69 (Learning Curve) lymph 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
0.9276 ± 0.0619
Per class
Build CPU time
0.0105
Build memory
2357984383.32
F measure
0.8274 ± 0.0896
Per class
Kappa
0.6803 ± 0.1759
KB relative information score
0.5453 ± 0.0876
Mean absolute error
0.1431 ± 0.026
Mean prior absolute error
0.2677 ± 0.0075
Number of instances
1480
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8427 ± 0.087
Per class
Predictive accuracy
0.8372 ± 0.0891
Prior entropy
1.2302 ± 0.1357
Recall
0.8372 ± 0.0891
Per class
Relative absolute error
0.5346 ± 0.0917
Root mean prior squared error
0.3639 ± 0.0103
Root mean squared error
0.2481 ± 0.0404
Root relative squared error
0.6817 ± 0.1039
SciMark benchmark
1655.4655