Run
283004

Run 283004

Task 4222 (Supervised Classification) ipums_la_97-small Uploaded 10-03-2015 by Joaquin Vanschoren
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Flow

weka.LBR(3)Zijian Zheng, G. Webb (2000). Lazy Learning of Bayesian Rules. Machine Learning. 4(1):53-84.

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
0.7956
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.3989
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3149
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
25391.8124
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1397
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2082
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
70190
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
0.3988
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.4535
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.7591
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.4535
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6709
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3226
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3372
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0451
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1317.1597
UserCPU time millis
31072230
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
31072110
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
120
Cross-validation details (10 times 10-fold Crossvalidation)