Run
88350

Run 88350

Task 3742 (Supervised Classification) fri_c4_100_10 Uploaded 03-12-2014 by Joaquin Vanschoren
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weka.BayesianLogisticRegression(2)Alexander Genkin, David D. Lewis, David Madigan (2004). Large-scale bayesian logistic regression for text categorization. URL http://www.stat.rutgers.edu/~madigan/PAPERS/shortFat-v3a.pdf.
weka.BayesianLogisticRegression(2)_Dtrue
weka.BayesianLogisticRegression(2)_F2
weka.BayesianLogisticRegression(2)_H1
weka.BayesianLogisticRegression(2)_I100
weka.BayesianLogisticRegression(2)_Ntrue
weka.BayesianLogisticRegression(2)_P1
weka.BayesianLogisticRegression(2)_RR:0.01-316,3.16
weka.BayesianLogisticRegression(2)_S0.5
weka.BayesianLogisticRegression(2)_Tl5.0E-4
weka.BayesianLogisticRegression(2)_V0.27
weka.BayesianLogisticRegression(2)_seed1

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.

21 Evaluation measures

Area under ROC curve
0.66
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0148
Cross-validation details (10-fold Crossvalidation)
Build memory
1671563078.4
Cross-validation details (10-fold Crossvalidation)
F measure
0.6603
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3192
Cross-validation details (10-fold Crossvalidation)
KB relative information score
31.6493
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.34
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6611
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.66
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10-fold Crossvalidation)
Recall
0.66
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6824
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5831
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1683
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.7937