Run
362457

Run 362457

Task 2120 (Supervised Classification) satimage Uploaded 28-03-2015 by Joaquin Vanschoren
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Flow

weka.A1DE(4)G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
weka.A1DE(4)_F1
weka.A1DE(4)_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.

22 Evaluation measures

Area under ROC curve
0.9861
Per class
Cross-validation details (33% Holdout set)
F measure
0.8853
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8552
Cross-validation details (33% Holdout set)
KB relative information score
1827.2169
Cross-validation details (33% Holdout set)
Mean absolute error
0.0411
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.27
Cross-validation details (33% Holdout set)
Number of instances
2121
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.8908
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8826
Cross-validation details (33% Holdout set)
Prior entropy
2.4836
Cross-validation details (33% Holdout set)
Recall
0.8826
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1522
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3674
Cross-validation details (33% Holdout set)
Root mean squared error
0.1849
Cross-validation details (33% Holdout set)
Root relative squared error
0.5034
Cross-validation details (33% Holdout set)
SciMark benchmark
1325.8468
UserCPU time millis
410
Cross-validation details (33% Holdout set)
UserCPU time millis testing
300
Cross-validation details (33% Holdout set)
UserCPU time millis training
110
Cross-validation details (33% Holdout set)