DEVELOPMENT... OpenML
Run
48353

Run 48353

Task 63 (Learning Curve) kr-vs-kp 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
0.9991 ± 0.0016
Per class
Build CPU time
0.081
Build memory
2747213251.94
F measure
0.9922 ± 0.005
Per class
Kappa
0.9843 ± 0.01
KB relative information score
0.9111 ± 0.0092
Mean absolute error
0.0544 ± 0.0049
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9922 ± 0.0049
Per class
Predictive accuracy
0.9922 ± 0.005
Prior entropy
0.9986 ± 0.0002
Recall
0.9922 ± 0.005
Per class
Relative absolute error
0.1091 ± 0.0098
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1067 ± 0.0118
Root relative squared error
0.2135 ± 0.0237
SciMark benchmark
1729.8248

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