Run
459214

Run 459214

Task 145 (Supervised Classification) BNG(cmc,nominal,55296) Uploaded 03-07-2015 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
0.6886
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5051
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2425
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10820.5042
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3793
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4309
Cross-validation details (10-fold Crossvalidation)
Number of instances
55296
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.5115
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5028
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5394
Cross-validation details (10-fold Crossvalidation)
Recall
0.5028
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8803
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4642
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4415
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9511
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
974.2014
UserCPU time millis
250
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
200
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
50
Cross-validation details (10-fold Crossvalidation)