Run
539754

Run 539754

Task 15 (Supervised Classification) breast-w Uploaded 22-03-2016 by Martijn Post
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Flow

weka.LMT(4)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(4)_I-1
weka.LMT(4)_M15
weka.LMT(4)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9938
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9627
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9173
Cross-validation details (10-fold Crossvalidation)
KB relative information score
620.9059
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0529
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.9627
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9628
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9628
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1171
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1666
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3506
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1732.2066
UserCPU time millis
109.2007
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
109.2007
Cross-validation details (10-fold Crossvalidation)