Run
7428

Run 7428

Task 42 (Supervised Classification) haberman Uploaded 22-05-2014 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
0.6218
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6844
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1425
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9.8843
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3626
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.39
Cross-validation details (10-fold Crossvalidation)
Number of instances
306
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
0.6767
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.719
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.836
Cross-validation details (10-fold Crossvalidation)
Recall
0.719
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9297
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4412
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4427
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0034
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.167[562.47685727503151015.2555353338006482.7975877024999910.85475360997441759.4502550697425]