DEVELOPMENT... OpenML
Run
50459

Run 50459

Task 1730 (Learning Curve) credit-g Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.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
0.7668 ± 0.0361
Per class
Build CPU time
0.0001
Build memory
3905227283.6444
F measure
0.7397 ± 0.0256
Per class
Kappa
0.3579 ± 0.0643
KB relative information score
0.1929 ± 0.0338
Mean absolute error
0.3342 ± 0.0118
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7415 ± 0.0295
Per class
Predictive accuracy
0.756 ± 0.0237
Prior entropy
0.8813
Recall
0.756 ± 0.0237
Per class
Relative absolute error
0.7953 ± 0.028
Root mean prior squared error
0.4583
Root mean squared error
0.4114 ± 0.0137
Root relative squared error
0.8977 ± 0.0299
SciMark benchmark
1613.0424

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