DEVELOPMENT... OpenML
Run
48412

Run 48412

Task 1720 (Learning Curve) car 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
0.994 ± 0.0025
Per class
Build CPU time
0.027
Build memory
3638288747.1273
F measure
0.9444 ± 0.0136
Per class
Kappa
0.8799 ± 0.03
KB relative information score
0.7482 ± 0.0245
Mean absolute error
0.078 ± 0.0056
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9454 ± 0.0132
Per class
Predictive accuracy
0.9444 ± 0.0142
Prior entropy
1.2058 ± 0.0093
Recall
0.9444 ± 0.0142
Per class
Relative absolute error
0.3406 ± 0.0244
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1618 ± 0.0106
Root relative squared error
0.4784 ± 0.0314
SciMark benchmark
1729.8248

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