Run
233693

Run 233693

Task 3773 (Supervised Classification) fri_c1_1000_10 Uploaded 02-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.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

0.9511
Per class
Cross-validation details (10-fold Crossvalidation)
0.8947
Per class
Cross-validation details (10-fold Crossvalidation)
0.7856
Cross-validation details (10-fold Crossvalidation)
731.6909
Cross-validation details (10-fold Crossvalidation)
0.1373
Cross-validation details (10-fold Crossvalidation)
0.4918
Cross-validation details (10-fold Crossvalidation)
1000
Per class
Cross-validation details (10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.895
Per class
Cross-validation details (10-fold Crossvalidation)
0.895
Cross-validation details (10-fold Crossvalidation)
0.9882
Cross-validation details (10-fold Crossvalidation)
0.895
Per class
Cross-validation details (10-fold Crossvalidation)
0.2791
Cross-validation details (10-fold Crossvalidation)
0.4959
Cross-validation details (10-fold Crossvalidation)
0.2872
Cross-validation details (10-fold Crossvalidation)
0.5792
Cross-validation details (10-fold Crossvalidation)
1301.9176
370
Cross-validation details (10-fold Crossvalidation)
370
Cross-validation details (10-fold Crossvalidation)