Run
194979

Run 194979

Task 4435 (Supervised Classification) fri_c2_1000_50 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
0.7229
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7639
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5119
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1688.4428
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4214
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4866
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
10000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7652
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7665
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9806
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7665
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8661
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4932
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4535
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9194
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1386.5717
UserCPU time millis
200
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
200
Cross-validation details (10 times 10-fold Crossvalidation)