Run
5493

Run 5493

Task 115 (Supervised Classification) diabetes Uploaded 04-11-2024 by Continuous Integration
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Flow

TESTTEST76d9e5c6b1sklearn.naive_bayes.GaussianNB(1)Gaussian Naive Bayes (GaussianNB) Can perform online updates to model parameters via :meth:`partial_fit`. For details on algorithm used to update feature means and variance online, see Stanford CS tech report STAN-CS-79-773 by Chan, Golub, and LeVeque: http://i.stanford.edu/pub/cstr/reports/cs/tr/79/773/CS-TR-79-773.pdf
TESTTEST76d9e5c6b1sklearn.naive_bayes.GaussianNB(1)_priorsnull
TESTTEST76d9e5c6b1sklearn.naive_bayes.GaussianNB(1)_var_smoothing1e-09

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.

18 Evaluation measures

Area under ROC curve
0.8127 ± 0.0506
Per class
F measure
0.7559 ± 0.0455
Per class
Kappa
0.4572 ± 0.1043
KB relative information score
0.3634 ± 0.0745
Mean absolute error
0.2876 ± 0.03
Mean prior absolute error
0.4545 ± 0.0011
Weighted recall
0.7591 ± 0.0435
Number of instances
768
Per class
Precision
0.7547 ± 0.0472
Per class
Predictive accuracy
0.7591 ± 0.0435
Prior entropy
0.9331 ± 0.0032
Relative absolute error
0.6328 ± 0.0662
Root mean prior squared error
0.4766 ± 0.0011
Root mean squared error
0.4222 ± 0.0389
Root relative squared error
0.8859 ± 0.082
Unweighted recall
0.7232 ± 0.0536