DEVELOPMENT... OpenML
Run
50466

Run 50466

Task 1736 (Learning Curve) diabetes Uploaded 06-11-2014 by Felicia West
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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
0.8306 ± 0.0351
Per class
Build CPU time
0.0002
Build memory
118354271.3
F measure
0.7612 ± 0.0437
Per class
Kappa
0.4689 ± 0.1005
KB relative information score
0.3485 ± 0.0523
Mean absolute error
0.298 ± 0.0209
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.76 ± 0.0431
Per class
Predictive accuracy
0.7643 ± 0.0402
Prior entropy
0.9331 ± 0.0046
Recall
0.7643 ± 0.0402
Per class
Relative absolute error
0.6558 ± 0.0458
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.3984 ± 0.0229
Root relative squared error
0.8359 ± 0.0477
SciMark benchmark
946.5422