DEVELOPMENT... OpenML
Run
48355

Run 48355

Task 80 (Learning Curve) car 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
0.9939 ± 0.0031
Per class
Build CPU time
0.0253
Build memory
2832540080.2836
F measure
0.9451 ± 0.0153
Per class
Kappa
0.8812 ± 0.0326
KB relative information score
0.7502 ± 0.0219
Mean absolute error
0.0773 ± 0.0051
Mean prior absolute error
0.229 ± 0.0006
Number of instances
17280
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9459 ± 0.0144
Per class
Predictive accuracy
0.9452 ± 0.0153
Prior entropy
1.2058 ± 0.0089
Recall
0.9452 ± 0.0153
Per class
Relative absolute error
0.3375 ± 0.0223
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1618 ± 0.0098
Root relative squared error
0.4785 ± 0.0292
SciMark benchmark
1729.8248