Confusion matrix indicating the technological application or origin prediction of 172 strains and their predictions as obtained with naïve Bayesian classifier (AUC = 0.70).

Inês Mendes (433938)
Ricardo Franco-Duarte (433939)
Lan Umek (433940)
Elza Fonseca (433941)
João Drumonde-Neves (433942)
Sylvie Dequin (205208)
Blaz Zupan (10031)
Dorit Schuller (181699)

Publication date

July 2013

DOI

10.1371/journal.pone.0066523.t004

Abstract

<p>Confusion matrix indicating the technological application or origin prediction of 172 strains and their predictions as obtained with naïve Bayesian classifier (AUC = 0.70).</p

Extracted data

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Confusion matrix indicating the technological application or origin prediction of 172 strains and their predictions as obtained with naïve Bayesian classifier (AUC = 0.70).

Abstract

Extracted data

Confusion matrix indicating the technological application or origin prediction of 172 strains and their predictions as obtained with naïve Bayesian classifier (AUC = 0.70).

Abstract

Extracted data

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