Run
339262

Run 339262

Task 4197 (Supervised Classification) monks-problems-1 Uploaded 27-03-2015 by Joaquin Vanschoren
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Flow

weka.LWL_DecisionStump(3)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(3)_Atrue
weka.LWL_DecisionStump(3)_K-1
weka.LWL_DecisionStump(3)_U0
weka.LWL_DecisionStump(3)_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.

22 Evaluation measures

Area under ROC curve
0.8296
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.729
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4928
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1953.667
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3345
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5560
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
0.8317
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7464
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7464
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.669
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4079
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8157
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1331.8682
UserCPU time millis
140
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
140
Cross-validation details (10 times 10-fold Crossvalidation)