DEVELOPMENT... OpenML
Run
20519

Run 20519

Task 31 (Supervised Classification) credit-g Uploaded 18-06-2014 by Felicia West
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Flow

weka.LWL_RandomTree(1)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.LWL_RandomTree(1)_Atrue
weka.LWL_RandomTree(1)_K-1
weka.LWL_RandomTree(1)_U0
weka.LWL_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.6523
Per class
F measure
0.7025
Per class
Kappa
0.2885
KB relative information score
232.7715
Mean absolute error
0.3002
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7012
Per class
Predictive accuracy
0.704
Prior entropy
0.8818
Recall
0.704
Per class
Relative absolute error
0.7144
Root mean prior squared error
0.4583
Root mean squared error
0.5352
Root relative squared error
1.1679
SciMark benchmark
944.0104[559.58953556755011012.0562417272014477.2185884444444908.32989414330441762.8577294742872]