Run
6930

Run 6930

Task 9 (Supervised Classification) autos Uploaded 21-05-2014 by Joaquin Vanschoren
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Flow

weka.ClassificationViaRegression_M5P(1)E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
weka.ClassificationViaRegression_M5P(1)_Wweka.classifiers.trees.M5P
weka.M5P(1)_M4.0

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
0.9047
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7607
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6968
Cross-validation details (10-fold Crossvalidation)
KB relative information score
123.8744
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1139
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
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
0.7586
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7659
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.7659
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5157
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2371
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7147
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.1314[558.69335417099721015.7906865781697482.5806157404377912.43998791392861761.1524117823017]