Run
193955

Run 193955

Task 232 (Supervised Classification) anneal 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
0.9663
Per class
Cross-validation details (33% Holdout set)
F measure
0.8767
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7257
Cross-validation details (33% Holdout set)
KB relative information score
233.3827
Cross-validation details (33% Holdout set)
Mean absolute error
0.0511
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.141
Cross-validation details (33% Holdout set)
Number of instances
296
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
0.877
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8851
Cross-validation details (33% Holdout set)
Prior entropy
1.2149
Cross-validation details (33% Holdout set)
Recall
0.8851
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3624
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2709
Cross-validation details (33% Holdout set)
Root mean squared error
0.1578
Cross-validation details (33% Holdout set)
Root relative squared error
0.5824
Cross-validation details (33% Holdout set)
SciMark benchmark
944.4621
UserCPU time millis
1220
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
1210
Cross-validation details (33% Holdout set)