ROC AUC values are averaged across 200 80–20 data splits. Error bars indicate the standard error across these splits. NMM, Nonlinear Multi-year Model with the architecture shown in Fig 1; NMM (3-layer), Nonlinear Multi-year Model with a three-layer architecture; NMM (Optimized), Nonlinear Multi-year Model with optimized architectures for each test set. Details of NMM (3-layer) and NMM(optimized) can be found in S1 Text. (PDF)</p
The curves represent the average curves for the 20 ANN and 20 logistic models. The area under the RO...
<p><b>(A)</b> Graphical display of the ranking of ANN model performance as measured by mean ROC AUC ...
<p><b>(a)</b> The ensemble-based prediction model based on all five combined patterns has an area un...
Data format is mean ± standard error. LSM† is a standard linear ridge regression model that is an al...
Top panel: Area under the ROC curve (AUC), Bottom panel: Accuracy. Results are stratified by groups ...
ROC AUC values are averaged across 200 80–20 data splits. Error bars indicate the standard error acr...
Comparison of model performance using area under the ROC curve (AUROC) and area under the precision-...
We use the same hyperparameters and activation functions for NMM (3-layer) and NMM (optimized) as NM...
Comparison of model performance using area under the ROC curve (AUROC), area under the precision-rec...
<p>ROC of our new model, PSA, PSAD and f/t. The AUC of these predictors were 0.789, 0.566, 0.664 and...
<p>The best performance for each network is emphasized in bold. Each number is obtained by averaging...
<p>The accuracy of forecasts generated by each modelling framework was measured by mean AUC and repo...
Average fraction of explainable variance explained (FEV) for models using different VGG layers as no...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
<p><b>(a)</b> The ROC curves and AUC values of six temporal sequence networks: AlexNet-LSTM, GoogLeN...
The curves represent the average curves for the 20 ANN and 20 logistic models. The area under the RO...
<p><b>(A)</b> Graphical display of the ranking of ANN model performance as measured by mean ROC AUC ...
<p><b>(a)</b> The ensemble-based prediction model based on all five combined patterns has an area un...
Data format is mean ± standard error. LSM† is a standard linear ridge regression model that is an al...
Top panel: Area under the ROC curve (AUC), Bottom panel: Accuracy. Results are stratified by groups ...
ROC AUC values are averaged across 200 80–20 data splits. Error bars indicate the standard error acr...
Comparison of model performance using area under the ROC curve (AUROC) and area under the precision-...
We use the same hyperparameters and activation functions for NMM (3-layer) and NMM (optimized) as NM...
Comparison of model performance using area under the ROC curve (AUROC), area under the precision-rec...
<p>ROC of our new model, PSA, PSAD and f/t. The AUC of these predictors were 0.789, 0.566, 0.664 and...
<p>The best performance for each network is emphasized in bold. Each number is obtained by averaging...
<p>The accuracy of forecasts generated by each modelling framework was measured by mean AUC and repo...
Average fraction of explainable variance explained (FEV) for models using different VGG layers as no...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
<p><b>(a)</b> The ROC curves and AUC values of six temporal sequence networks: AlexNet-LSTM, GoogLeN...
The curves represent the average curves for the 20 ANN and 20 logistic models. The area under the RO...
<p><b>(A)</b> Graphical display of the ranking of ANN model performance as measured by mean ROC AUC ...
<p><b>(a)</b> The ensemble-based prediction model based on all five combined patterns has an area un...