Run
193992

Run 193992

Task 265 (Supervised Classification) dermatology 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
0.994
Per class
Cross-validation details (33% Holdout set)
F measure
0.9497
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9368
Cross-validation details (33% Holdout set)
KB relative information score
113.2677
Cross-validation details (33% Holdout set)
Mean absolute error
0.0145
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2653
Cross-validation details (33% Holdout set)
Number of instances
120
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
0.9503
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.95
Cross-validation details (33% Holdout set)
Prior entropy
2.4378
Cross-validation details (33% Holdout set)
Recall
0.95
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0548
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3633
Cross-validation details (33% Holdout set)
Root mean squared error
0.0988
Cross-validation details (33% Holdout set)
Root relative squared error
0.272
Cross-validation details (33% Holdout set)
SciMark benchmark
944.4621
UserCPU time millis
1050
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
Cross-validation details (33% Holdout set)
UserCPU time millis training
1040
Cross-validation details (33% Holdout set)