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Fig. 7 | BMC Bioinformatics

Fig. 7

From: Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra

Fig. 7

Standard machine learning models' predictive accuracies and generalisability when trained with PCA-transformed Ifakara data plus 2% new target population. A Comparison of standard machine learning models for mosquito age classification; KNN: K-nearest neighbours, LR: Logistic regression, SVM: Support vector machine classifier, RF: Random Forest classifier, and XGB: XGBoost. B proportions of correct mosquito age class predictions achieved on unseen Glasgow dataset

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BMC Bioinformatics

ISSN: 1471-2105

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