Run
10862

Run 10862

Task 13 (Supervised Classification) breast-cancer 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
0.6612
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6914
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2306
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26.7526
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3699
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10-fold Crossvalidation)
Number of instances
286
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
0.6906
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7168
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10-fold Crossvalidation)
Recall
0.7168
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8843
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4457
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9753
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.538[563.38522762117461015.5230404536866483.6674820550281913.39368876640651761.7203488120049]