Run
50454

Run 50454

Task 1722 (Learning Curve) cmc Uploaded 06-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.LWL_RandomForest(2)Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1
weka.LWL_RandomForest(2)_Atrue
weka.LWL_RandomForest(2)_K-1
weka.LWL_RandomForest(2)_U0
weka.LWL_RandomForest(2)_Wweka.classifiers.trees.RandomForest

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
0.6576 ± 0.0294
Per class
Build CPU time
0.0002
Build memory
763048009.6
F measure
0.4981 ± 0.0328
Per class
Kappa
0.222 ± 0.052
KB relative information score
0.24 ± 0.0301
Mean absolute error
0.3578 ± 0.0141
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.4966 ± 0.0327
Per class
Predictive accuracy
0.5003 ± 0.0338
Prior entropy
1.539 ± 0.0029
Recall
0.5003 ± 0.0338
Per class
Relative absolute error
0.8305 ± 0.0331
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4889 ± 0.0133
Root relative squared error
1.0535 ± 0.0291
SciMark benchmark
1508.8083