DEVELOPMENT... OpenML
Run
48415

Run 48415

Task 1715 (Learning Curve) mfeat-karhunen 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
0.9974 ± 0.002
Per class
Build CPU time
0.4276
Build memory
586839405.0182
F measure
0.9625 ± 0.0186
Per class
Kappa
0.9583 ± 0.0205
KB relative information score
0.8079 ± 0.0153
Mean absolute error
0.063 ± 0.003
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9628 ± 0.0182
Per class
Predictive accuracy
0.9625 ± 0.0184
Prior entropy
3.3219
Recall
0.9625 ± 0.0184
Per class
Relative absolute error
0.3502 ± 0.0166
Root mean prior squared error
0.3
Root mean squared error
0.1315 ± 0.0072
Root relative squared error
0.4384 ± 0.0241
SciMark benchmark
1970.0822