Prediction error distributions of four models with different training sample sizes.</p
Distribution of predicted probabilities for class serious (1 = serious, 0 = non-serious) for the dif...
<p>Relative percentage error distribution of the three different prediction models for dysentery fro...
<p>Distribution of the probability of malignancy according to the four risk prediction models.</p
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>Prediction errors (predicted prevalence—observed prevalence) for the 143 observations in the pred...
Optimal errors were defined as errors occurring when a response with maximum probability of being co...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
Prediction performance metrics of four different models in other target wells.</p
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>Comparison of models to predict detection probability across trigger type and target variables.</...
Sample sizes for different clinical outcomes based on input and prediction score.</p
<p>Ordered distributions of accuracies of trained models grouped by learning technique (combined hig...
<p>The values in each cell correspond to mean and standard deviation across the 100 computations.</p
Performance assessment of prediction model based on different criteria; (a) comparison of statistica...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
Distribution of predicted probabilities for class serious (1 = serious, 0 = non-serious) for the dif...
<p>Relative percentage error distribution of the three different prediction models for dysentery fro...
<p>Distribution of the probability of malignancy according to the four risk prediction models.</p
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>Prediction errors (predicted prevalence—observed prevalence) for the 143 observations in the pred...
Optimal errors were defined as errors occurring when a response with maximum probability of being co...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
Prediction performance metrics of four different models in other target wells.</p
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>Comparison of models to predict detection probability across trigger type and target variables.</...
Sample sizes for different clinical outcomes based on input and prediction score.</p
<p>Ordered distributions of accuracies of trained models grouped by learning technique (combined hig...
<p>The values in each cell correspond to mean and standard deviation across the 100 computations.</p
Performance assessment of prediction model based on different criteria; (a) comparison of statistica...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
Distribution of predicted probabilities for class serious (1 = serious, 0 = non-serious) for the dif...
<p>Relative percentage error distribution of the three different prediction models for dysentery fro...
<p>Distribution of the probability of malignancy according to the four risk prediction models.</p
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