Mean (95% confidence interval) test class performance of regression and machine learning models for predicting the infecting DENV serotype using all titre predictor variables, plus age, school, and year of infection (Scenario B).

<p>For each performance metric, the mean and 95% confidence interval were calculated using 100 bootstrap samples of the hold-out-sample (10%). There were no DENV4 cases in the test set. ANN: artificial neural network. MLR: multinomial logistic regression. SVM: support vector machine. GBM: gradient boosting machine. RF: random forest. DENV: dengue virus.</p> <p>(DOCX)</p>

Publication Details

Journal
Figshare
Published
2024-12-23
DOI
https://doi.org/10.1371/journal.pcbi.1012188.s009
Primary Topic
Educational Robotics and Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Mean (95% confidence interval) test class performance of regression and machine learning models for predicting the infecting DENV serotype using all titre predictor variables, plus age, school, and year of infection (Scenario B).

Figshare
Educational Robotics and Engineering
article

Mean (95% confidence interval) test class performance of regression and machine learning models for predicting the infecting DENV serotype using all titre predictor variables, plus age, school, and year of infection (Scenario B).

article en

Abstract

<p>For each performance metric, the mean and 95% confidence interval were calculated using 100 bootstrap samples of the hold-out-sample (10%). There were no DENV4 cases in the test set. ANN: artificial neural network. MLR: multinomial logistic regression. SVM: support vector machine. GBM: gradient boosting machine. RF: random forest. DENV: dengue virus.</p> <p>(DOCX)</p>

Figshare
Openalex Percentile: Top 63%
Educational Robotics and Engineering
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Mean (95% confidence interval) test class performance of regression and machine learning models for predicting the infecting DENV serotype using all titre predictor variables, plus age, school, and year of infection (Scenario B). · Figshare (2024) | TGRS Research Map | TGRS