Run
6060491

Run 6060491

Task 37 (Supervised Classification) diabetes Uploaded 03-08-2017 by Miguel Cachada
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Flow

weka.LWL_Logistic(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.Logistic(8)_R7.159649059102458E-8
weka.Logistic(8)_M-1
weka.Logistic(8)_num-decimal-places4
weka.LWL_Logistic(1)_Atrue
weka.LWL_Logistic(1)_K-1
weka.LWL_Logistic(1)_U4
weka.LWL_Logistic(1)_Wweka.classifiers.functions.Logistic

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
0.8323
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7719
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4889
Cross-validation details (10-fold Crossvalidation)
KB relative information score
260.9593
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3064
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7738
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7786
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7786
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6741
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3949
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8285
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1562.0958
UserCPU time millis
10000
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10000
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)