Performance of the best three inference models with and without prior knowledge.</p
<p>The performance comparison of the models trained with different sequence lengths.</p
Overall performance and calibration of the prediction models (quantitative approach).</p
Evaluation of the performances of the different prediction models on all the pendulums.</p
Model performance across three model assumptions of prior distribution for suppressed data.</p
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
<p>The performance of models on an independent datasets, these models were developed on standard dat...
Comparison of the performance of the four methods under the four distributions data.</p
Comparison of the performance of optimal experimental designs in supporting parameter inference for ...
Performance of the multiple linear regression models for the summary cognitive indexes.</p
<p>Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....
Prediction performance metrics of four different models in other target wells.</p
Performance metrics of the final prediction model on the test set using the random forest method.</p
Performance of the machine-learned model when propensity matching based on age and gender.</p
Prediction error distributions of four models with different training sample sizes.</p
Estimates of fixed effect coefficients and quality metrics for the inference models.</p
<p>The performance comparison of the models trained with different sequence lengths.</p
Overall performance and calibration of the prediction models (quantitative approach).</p
Evaluation of the performances of the different prediction models on all the pendulums.</p
Model performance across three model assumptions of prior distribution for suppressed data.</p
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
<p>The performance of models on an independent datasets, these models were developed on standard dat...
Comparison of the performance of the four methods under the four distributions data.</p
Comparison of the performance of optimal experimental designs in supporting parameter inference for ...
Performance of the multiple linear regression models for the summary cognitive indexes.</p
<p>Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....
Prediction performance metrics of four different models in other target wells.</p
Performance metrics of the final prediction model on the test set using the random forest method.</p
Performance of the machine-learned model when propensity matching based on age and gender.</p
Prediction error distributions of four models with different training sample sizes.</p
Estimates of fixed effect coefficients and quality metrics for the inference models.</p
<p>The performance comparison of the models trained with different sequence lengths.</p
Overall performance and calibration of the prediction models (quantitative approach).</p
Evaluation of the performances of the different prediction models on all the pendulums.</p