Run
6868

Run 6868

Task 23 (Supervised Classification) cmc Uploaded 21-05-2014 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)_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
0.711
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.524
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2617
Cross-validation details (10-fold Crossvalidation)
KB relative information score
335.8158
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3609
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
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
0.5259
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5255
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.5255
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8378
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4354
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9382
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.8741[562.65828827718581015.5230404536866485.1974292776418910.85475360997441765.136766288487]