Run
12112

Run 12112

Task 27 (Supervised Classification) colic 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)_M10
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
0.8956
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8476
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6724
Cross-validation details (10-fold Crossvalidation)
KB relative information score
210.5131
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2079
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.8474
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8478
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8478
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.446
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3378
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6998
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
910.0908[560.30860489012831015.7906865781697483.88543266528814910.22226140528711580.246981606401]