Run
104743

Run 104743

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 08-12-2014 by Joaquin Vanschoren
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Flow

weka.A2DE(2)Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive {Bayesian} classification. Machine Learning. 86(2):233-272.
weka.A2DE(2)_F1
weka.A2DE(2)_M1.0

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
0.5
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.038
Cross-validation details (33% Holdout set)
Build memory
427964688
Cross-validation details (33% Holdout set)
F measure
0.6996
Per class
Cross-validation details (33% Holdout set)
KB relative information score
-1.597
Cross-validation details (33% Holdout set)
Mean absolute error
0.2386
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6267
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7917
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.7917
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.0608
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.3186
Cross-validation details (33% Holdout set)
Root relative squared error
1.0295
Cross-validation details (33% Holdout set)
SciMark benchmark
933.1799