Run
7532

Run 7532

Task 37 (Supervised Classification) diabetes 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)_M20
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
0.8261
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7572
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4545
Cross-validation details (10-fold Crossvalidation)
KB relative information score
241.6435
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.319
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
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
0.7617
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7669
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7669
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7019
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3987
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8365
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.0997[563.93167687387211015.5230404536866484.7593072718849916.26709630569521760.017229859821]