Run
364262

Run 364262

Task 4586 (Supervised Classification) ipums_la_99-small 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
0.8512
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8723
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2481
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-117611.4699
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1701
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1203
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
88440
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9192
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8415
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.3444
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8415
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.414
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2452
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3529
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.4395
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1340.9749
UserCPU time millis
370
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
290
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
80
Cross-validation details (10 times 10-fold Crossvalidation)