Run
10807

Run 10807

Task 57 (Supervised Classification) ionosphere 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)_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
0.9236
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9213
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8265
Cross-validation details (10-fold Crossvalidation)
KB relative information score
278.9551
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.096
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
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
0.9272
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9231
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.9231
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2084
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2557
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.533
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.7529[561.57136831653141015.7907504114269478.4945829226523909.59057174132591758.3171307218695]