Run
1816087

Run 1816087

Task 10090 (Supervised Classification) amazon-commerce-reviews Uploaded 11-09-2016 by Jan van Rijn
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Flow

weka.LMT(4)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(4)_I-1
weka.LMT(4)_M15
weka.LMT(4)_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
0.9738
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7903
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7871
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1219.6596
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0087
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0392
Cross-validation details (10-fold Crossvalidation)
Number of instances
1500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7961
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7913
Cross-validation details (10-fold Crossvalidation)
Prior entropy
5.6439
Cross-validation details (10-fold Crossvalidation)
Recall
0.7913
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2215
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.14
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0854
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6097
Cross-validation details (10-fold Crossvalidation)