Run
10657

Run 10657

Task 26 (Supervised Classification) nursery 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.LMT(1)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(1)_I-1
weka.LMT(1)_M25
weka.LMT(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
0.9977
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9901
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9854
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12716.2165
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.273
Cross-validation details (10-fold Crossvalidation)
Number of instances
12960
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
0.9901
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.99
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7176
Cross-validation details (10-fold Crossvalidation)
Recall
0.99
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0146
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3695
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0628
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.17
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.8739[566.67985740389281015.7907504114269484.7593072718849912.12245438067161760.0170946291457]