Run
194904

Run 194904

Task 4362 (Supervised Classification) fri_c2_500_5 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
0.7228
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.734
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4437
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
818.9913
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4178
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4816
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7345
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7374
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9735
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7374
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8674
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4907
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4518
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9206
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
918.6005
UserCPU time millis
70
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
70
Cross-validation details (10 times 10-fold Crossvalidation)