Run
1840410

Run 1840410

Task 125969 (Supervised Classification) SpeedDating Uploaded 22-11-2016 by J B
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.LMT(3)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. 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.LMT(3)_I8
weka.LMT(3)_M9
weka.LMT(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.

17 Evaluation measures

Area under ROC curve
0.8483
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2498
Cross-validation details (10-fold Crossvalidation)
F measure
0.8403
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3727
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1414.2889
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1982
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8379
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8566
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8566
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7203
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3201
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8631
Cross-validation details (10-fold Crossvalidation)
Total cost
2093
Cross-validation details (10-fold Crossvalidation)