Run
194818

Run 194818

Task 3526 (Supervised Classification) re0.wc Uploaded 26-02-2015 by Joaquin Vanschoren
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Flow

weka.SimpleLogistic(3)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(3)_I0
weka.SimpleLogistic(3)_M500
weka.SimpleLogistic(3)_H50
weka.SimpleLogistic(3)_W0.0

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

0.9527
Per class
Cross-validation details (10-fold Crossvalidation)
0.8331
Per class
Cross-validation details (10-fold Crossvalidation)
0.7807
Cross-validation details (10-fold Crossvalidation)
1176.7363
Cross-validation details (10-fold Crossvalidation)
0.0305
Cross-validation details (10-fold Crossvalidation)
0.1176
Cross-validation details (10-fold Crossvalidation)
1504
Per class
Cross-validation details (10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8352
Per class
Cross-validation details (10-fold Crossvalidation)
0.8344
Cross-validation details (10-fold Crossvalidation)
2.6539
Cross-validation details (10-fold Crossvalidation)
0.8344
Per class
Cross-validation details (10-fold Crossvalidation)
0.2593
Cross-validation details (10-fold Crossvalidation)
0.2422
Cross-validation details (10-fold Crossvalidation)
0.1426
Cross-validation details (10-fold Crossvalidation)
0.5888
Cross-validation details (10-fold Crossvalidation)
932.5646
717380
Cross-validation details (10-fold Crossvalidation)
2160
Cross-validation details (10-fold Crossvalidation)
715220
Cross-validation details (10-fold Crossvalidation)