Run
194004

Run 194004

Task 285 (Supervised Classification) vote Uploaded 26-02-2015 by Joaquin Vanschoren
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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
0.9979
Per class
Cross-validation details (33% Holdout set)
F measure
0.9791
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9558
Cross-validation details (33% Holdout set)
KB relative information score
119.303
Cross-validation details (33% Holdout set)
Mean absolute error
0.0946
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4739
Cross-validation details (33% Holdout set)
Number of instances
143
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9792
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.979
Cross-validation details (33% Holdout set)
Prior entropy
0.9627
Cross-validation details (33% Holdout set)
Recall
0.979
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1997
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4865
Cross-validation details (33% Holdout set)
Root mean squared error
0.1494
Cross-validation details (33% Holdout set)
Root relative squared error
0.3071
Cross-validation details (33% Holdout set)
SciMark benchmark
880.8372
UserCPU time millis
80
Cross-validation details (33% Holdout set)
UserCPU time millis training
80
Cross-validation details (33% Holdout set)