Run
6316

Run 6316

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 15-05-2014 by Joaquin Vanschoren
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Flow

weka.LWL_DecisionStump(1)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(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.3759
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5801
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0413
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1.6614
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2886
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2871
Cross-validation details (10-fold Crossvalidation)
Number of instances
90
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.501
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6889
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (10-fold Crossvalidation)
Recall
0.6889
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0054
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3982
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0604
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.3475[561.93322246417441013.919993711725484.10363182779514914.66847156230541752.1121496976039]