Run
7072

Run 7072

Task 39 (Supervised Classification) sonar 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)_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
0.7557
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7207
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4383
Cross-validation details (10-fold Crossvalidation)
KB relative information score
75.8966
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3217
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4978
Cross-validation details (10-fold Crossvalidation)
Number of instances
208
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
0.7208
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7212
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9968
Cross-validation details (10-fold Crossvalidation)
Recall
0.7212
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6463
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4733
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9488
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
910.9097[569.08339557480821016.0585376856843479.99187728791736910.53839766977511578.8763106875435]