DEVELOPMENT... OpenML
Run
50644

Run 50644

Task 1742 (Learning Curve) spambase Uploaded 06-11-2014 by Jason
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Flow

weka.LWL_RandomTree(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.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.LWL_RandomTree(2)_Atrue
weka.LWL_RandomTree(2)_K-1
weka.LWL_RandomTree(2)_U0
weka.LWL_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.9059 ± 0.0126
Per class
Build CPU time
0.0002
Build memory
780759221.1429
F measure
0.9069 ± 0.0126
Per class
Kappa
0.8054 ± 0.0263
KB relative information score
0.8021 ± 0.0267
Mean absolute error
0.0926 ± 0.0125
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9072 ± 0.0126
Per class
Predictive accuracy
0.9068 ± 0.0126
Prior entropy
0.9674 ± 0.0006
Recall
0.9068 ± 0.0126
Per class
Relative absolute error
0.1939 ± 0.0262
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.3033 ± 0.0208
Root relative squared error
0.6208 ± 0.0425
SciMark benchmark
1316.1996