Classification algorithms

(2817385), Sofia-Paraskevi Trachana; (2817418), Eleftherios Pilalis; (2817406), Nikos G. Gavalas; (2817400), Kimon Tzannis; (2817391), Olga Papadodima; (2817394), Michalis Liontos; (66167), Alexandros Rodolakis; (665245), Georgios Vlachos; (2817397), Nikolaos Thomakos; (2817412), Dimitrios Haidopoulos; (2817403), Maria Lykka; (2817415), Konstantinos Koutsoukos; (2817409), Efthimios Kostouros; (2817388), Evagelos Terpos; (542202), Aristotelis Chatziioannou; (66948), Meletios-Athanasios Dimopoulos; (66944), Aristotelis Bamias

doi:10.1371/journal.pone.0156403.g003

Public

Classification algorithms.

Published in Figshare • Jun 6, 2016

Authors:

Sofia-Paraskevi Trachana (2817385)

,

Eleftherios Pilalis (2817418)

,

Nikos G. Gavalas (2817406)

Abstract

<p>ROC curves, showing the performances of four different classification algorithms, applied to the reduced subset of four factors: a) Support Vector Machines b) LDA c) Naïve Bayes d) Random Forests. The SVM classifier optimally separated the positive and negative samples, with a mean AUC of 0.85. T...

Subject

Support vector machine

Randomness

Pattern recognition (psychology)

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