Run
10958

Run 10958

Task 43 (Supervised Classification) spambase Uploaded 22-05-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.SimpleLogistic(1)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 675-683, 2005.
weka.SimpleLogistic(1)_H50
weka.SimpleLogistic(1)_I0
weka.SimpleLogistic(1)_M500
weka.SimpleLogistic(1)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9731
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9271
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8468
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3474.903
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1262
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
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
0.9274
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9274
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9274
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2642
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.241
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4931
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.7543[559.76915123019011014.1868590421574483.23216931738307902.69978499306011758.8835103978397]