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Fig. 4 | BMC Bioinformatics

Fig. 4

From: Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results

Fig. 4

Probability of agreement on synthetic data. Classification performance on synthetic data of varying data density \(\overline{\left| \Omega \right| }\). Model performance is given as the probability of agreement [13] score (\(\Phi _s\) from (8)) with \(95 \%\) CI. Higher \(\Phi _s \in [0, 1]\) signifies better model fit. The prediction models are Matrix Factorization (MF), Convolutional MF (CMF) and Shifted CMF (SCMF)

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BMC Bioinformatics

ISSN: 1471-2105

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