Run
195079

Run 195079

Task 4535 (Supervised Classification) cars Uploaded 26-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.95
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8989
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7879
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2807.191
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1507
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4686
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
4060
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
0.9053
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8978
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9544
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8978
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3217
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.484
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2873
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5937
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1339.3974
UserCPU time millis
770
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
770
Cross-validation details (10 times 10-fold Crossvalidation)