DEVELOPMENT... OpenML
Run
53679

Run 53679

Task 1742 (Learning Curve) spambase Uploaded 08-11-2014 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
0.9879 ± 0.0041
Per class
Build CPU time
0.0002
Build memory
452839778.5714
F measure
0.9551 ± 0.0109
Per class
Kappa
0.9058 ± 0.0229
KB relative information score
0.8164 ± 0.0145
Mean absolute error
0.098 ± 0.0064
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
0.9552 ± 0.011
Per class
Predictive accuracy
0.9552 ± 0.0109
Prior entropy
0.9674 ± 0.0006
Recall
0.9552 ± 0.0109
Per class
Relative absolute error
0.2052 ± 0.0134
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.1918 ± 0.0143
Root relative squared error
0.3925 ± 0.0294
SciMark benchmark
1684.583