Run
336856

Run 336856

Task 4321 (Supervised Classification) pm10 Uploaded 27-03-2015 by Joaquin Vanschoren
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Flow

weka.LMT(3)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. 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.LMT(3)_I-1
weka.LMT(3)_M15
weka.LMT(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

0.5157
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.515
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.047
Cross-validation details (10 times 10-fold Crossvalidation)
51.4888
Cross-validation details (10 times 10-fold Crossvalidation)
0.4953
Cross-validation details (10 times 10-fold Crossvalidation)
0.4999
Cross-validation details (10 times 10-fold Crossvalidation)
5000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.5257
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5258
Cross-validation details (10 times 10-fold Crossvalidation)
0.9998
Cross-validation details (10 times 10-fold Crossvalidation)
0.5258
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9908
Cross-validation details (10 times 10-fold Crossvalidation)
0.4999
Cross-validation details (10 times 10-fold Crossvalidation)
0.5078
Cross-validation details (10 times 10-fold Crossvalidation)
1.0156
Cross-validation details (10 times 10-fold Crossvalidation)
1331.8682
80
Cross-validation details (10 times 10-fold Crossvalidation)
80
Cross-validation details (10 times 10-fold Crossvalidation)