Run
280125

Run 280125

Task 1893 (Supervised Classification) breast-cancer Uploaded 08-03-2015 by Joaquin Vanschoren
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Flow

weka.LMT(3)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(3)_I-1
weka.LMT(3)_M15
weka.LMT(3)_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
0.6618
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7162
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2902
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
345.9417
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3616
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2860
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7405
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7521
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7521
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8645
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4305
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.942
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1340.9497
UserCPU time millis
100
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
100
Cross-validation details (10 times 10-fold Crossvalidation)