Run
194746

Run 194746

Task 4199 (Supervised Classification) monks-problems-3 Uploaded 26-02-2015 by Jan van Rijn
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Flow

weka.SimpleLogistic(3)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. 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.SimpleLogistic(3)_I0
weka.SimpleLogistic(3)_M500
weka.SimpleLogistic(3)_H50
weka.SimpleLogistic(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
0.9846
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9764
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9527
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
5036.1393
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0524
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4992
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5540
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
0.9764
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9764
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9764
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.105
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1409
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.282
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1335.643
UserCPU time millis
130
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
130
Cross-validation details (10 times 10-fold Crossvalidation)