Run
8561

Run 8561

Task 54 (Supervised Classification) hepatitis 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
0.8565
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8558
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5385
Cross-validation details (10-fold Crossvalidation)
KB relative information score
63.1794
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3299
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
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
0.856
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8645
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (10-fold Crossvalidation)
Recall
0.8645
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5456
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4048
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3266
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8069
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.9402[557.62168423933221016.0585376856843478.28140966761225914.98778054938791757.751385454742]