Run
1810705

Run 1810705

Task 14971 (Supervised Classification) Click_prediction_small Uploaded 31-07-2016 by Jan van Rijn
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Flow

weka.LWL_DecisionStump(4)Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
weka.LWL_DecisionStump(4)_Atrue
weka.LWL_DecisionStump(4)_K-1
weka.LWL_DecisionStump(4)_U0
weka.LWL_DecisionStump(4)_Wweka.classifiers.trees.DecisionStump

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
0.616
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7551
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-2268.5991
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2678
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6915
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8316
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.8316
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.956
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3706
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9904
Cross-validation details (10-fold Crossvalidation)