Run
50440

Run 50440

Task 2102 (Learning Curve) eucalyptus Uploaded 06-11-2014 by Jan van Rijn
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  • 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
0.8571 ± 0.0285
Per class
Build CPU time
0.0001
Build memory
8847888598.8
F measure
0.5579 ± 0.0471
Per class
Kappa
0.4328 ± 0.0601
KB relative information score
0.4712 ± 0.0369
Mean absolute error
0.195 ± 0.0113
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5598 ± 0.0424
Per class
Predictive accuracy
0.5584 ± 0.0475
Prior entropy
2.2621 ± 0.0043
Recall
0.5584 ± 0.0475
Per class
Relative absolute error
0.6226 ± 0.036
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.336 ± 0.0161
Root relative squared error
0.8491 ± 0.0405
SciMark benchmark
1580.7078