DEVELOPMENT... OpenML
Run
88175

Run 88175

Task 3909 (Supervised Classification) ar1 Uploaded 03-12-2014 by Felicia West
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Flow

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
0.3566
Per class
Build CPU time
0.0284
Build memory
809289925.3554
F measure
0.5895
Per class
Kappa
-0.0807
KB relative information score
-475.137
Mean absolute error
0.5289
Mean prior absolute error
0.1436
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8236
Per class
Predictive accuracy
0.4711
Prior entropy
0.4067
Recall
0.4711
Per class
Relative absolute error
3.6837
Root mean prior squared error
0.2625
Root mean squared error
0.7273
Root relative squared error
2.7708
SciMark benchmark
933.1047