Run
147390

Run 147390

Task 3914 (Supervised Classification) ar6 Uploaded 02-02-2015 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.

22 Evaluation measures

Area under ROC curve
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7832
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27.755
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1485
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2577
Cross-validation details (10-fold Crossvalidation)
Number of instances
101
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
0.725
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8515
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.623
Cross-validation details (10-fold Crossvalidation)
Recall
0.8515
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5763
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3557
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3854
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0835
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.236
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)