Run
6439

Run 6439

Task 30 (Supervised Classification) page-blocks Uploaded 15-05-2014 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
0.9868
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9632
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8029
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3933.2178
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0221
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
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
0.9632
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9647
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9647
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2896
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1024
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5256
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.6821[566.86405431965431015.2555353338006484.7593072718849915.94689394904971760.5845701777503]