Run
194846

Run 194846

Task 4307 (Supervised Classification) visualizing_environmental 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
0.7641
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.695
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3966
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
265.2604
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3928
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1110
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
0.7059
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6964
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6964
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7872
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4401
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.881
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
918.6005
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)