Run
88145

Run 88145

Task 3646 (Supervised Classification) rabe_265 Uploaded 03-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0283
Cross-validation details (10-fold Crossvalidation)
Build memory
589460021.6471
Cross-validation details (10-fold Crossvalidation)
F measure
0.4357
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7.1122
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4118
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.485
Cross-validation details (10-fold Crossvalidation)
Number of instances
51
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
0.346
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5882
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9791
Cross-validation details (10-fold Crossvalidation)
Recall
0.5882
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.849
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4922
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6417
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3038
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
933.1047