<p>Precision and recall results from validation of multiple age classification models.</p
<p>Age estimates are based on mean estimate from raters. Identifiability scores (%) are based on the...
The evaluation results based on four pretraining language models for two datasets.</p
<p>The results show that participants from all age groups provide the best results on stimuli faces ...
<p>A: Precision-recall curves of validation data sets. B: Precision-recall curves of test data sets....
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
Calibration curve of the final model in the elderly subset (≥ 75 years) of the validation cohort.</p
<p>Results of model performance evaluation using different validation methods.</p
<p>The accuracies, precisions and recalls of tree induction models on Final Cleaned database (FCdb) ...
Precision recall curves for the top performing model compared to individual feature predictions.</p
Performance of the machine-learned model when propensity matching based on age and gender.</p
Externally validated model discrimination for different predictor sets and modelling techniques: Val...
We cross-validated our models trained with PREs and non-PREs, and tested with independent A) PREs ve...
The evaluation results based on four simple machine learning models for two datasets.</p
<p>Number of valid test trials and mean values of dwell times for each age group and stimulus condit...
<p>Sample sizes, mean ages (years) and trust levels of participants in four conditions.</p
<p>Age estimates are based on mean estimate from raters. Identifiability scores (%) are based on the...
The evaluation results based on four pretraining language models for two datasets.</p
<p>The results show that participants from all age groups provide the best results on stimuli faces ...
<p>A: Precision-recall curves of validation data sets. B: Precision-recall curves of test data sets....
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
Calibration curve of the final model in the elderly subset (≥ 75 years) of the validation cohort.</p
<p>Results of model performance evaluation using different validation methods.</p
<p>The accuracies, precisions and recalls of tree induction models on Final Cleaned database (FCdb) ...
Precision recall curves for the top performing model compared to individual feature predictions.</p
Performance of the machine-learned model when propensity matching based on age and gender.</p
Externally validated model discrimination for different predictor sets and modelling techniques: Val...
We cross-validated our models trained with PREs and non-PREs, and tested with independent A) PREs ve...
The evaluation results based on four simple machine learning models for two datasets.</p
<p>Number of valid test trials and mean values of dwell times for each age group and stimulus condit...
<p>Sample sizes, mean ages (years) and trust levels of participants in four conditions.</p
<p>Age estimates are based on mean estimate from raters. Identifiability scores (%) are based on the...
The evaluation results based on four pretraining language models for two datasets.</p
<p>The results show that participants from all age groups provide the best results on stimuli faces ...
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