Run
228120

Run 228120

Task 3771 (Supervised Classification) chscase_census3 Uploaded 01-03-2015 by Jan van Rijn
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Flow

weka.NaiveBayes(10)George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

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
0.4649
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4643
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0583
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-5.3091
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5044
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4992
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4692
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4775
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.4775
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0105
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5127
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0263
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1368.9272
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)