Run
207607

Run 207607

Task 4218 (Supervised Classification) ipums_la_99-small Uploaded 27-02-2015 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
0.9814
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8109
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6598
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
59103.9998
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0625
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1558
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
88440
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
0.8131
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8146
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.7594
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8146
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4011
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2791
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1771
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6346
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1280.6952
UserCPU time millis
1252720
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10460
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
1242260
Cross-validation details (10 times 10-fold Crossvalidation)