Run
11692

Run 11692

Task 30 (Supervised Classification) page-blocks Uploaded 22-05-2014 by Joaquin Vanschoren
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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
0.9851
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9677
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8295
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4103.3704
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0178
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
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
0.9674
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9686
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9686
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2343
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5136
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.2545[566.67985740389281015.7906865781697484.1035797902428906.13200343296361768.5664600912808]