Run
371880

Run 371880

Task 2332 (Supervised Classification) BNG(cmc) Uploaded 29-03-2015 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
0.7324
Per class
Cross-validation details (33% Holdout set)
F measure
0.553
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3101
Cross-validation details (33% Holdout set)
KB relative information score
4397.373
Cross-validation details (33% Holdout set)
Mean absolute error
0.3612
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4306
Cross-validation details (33% Holdout set)
Number of instances
18247
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.5537
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5538
Cross-validation details (33% Holdout set)
Prior entropy
1.5387
Cross-validation details (33% Holdout set)
Recall
0.5538
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8388
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.464
Cross-validation details (33% Holdout set)
Root mean squared error
0.4297
Cross-validation details (33% Holdout set)
Root relative squared error
0.9262
Cross-validation details (33% Holdout set)
SciMark benchmark
1313.8988
UserCPU time millis
320
Cross-validation details (33% Holdout set)
UserCPU time millis testing
150
Cross-validation details (33% Holdout set)
UserCPU time millis training
170
Cross-validation details (33% Holdout set)