<p>The points in the figure represent mean values. (A) shows the accuracies from time point 3 to time point 7 for Baranzini dataset. (B) shows the accuracies from time point 3 to time point 5 for Goertsches dataset.</p
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
<p>A: Scatter plot of experimentally determined values versus predicted values in D14_ALP model, B: ...
<p>The prediction accuracy <i>A</i> using a logistic regression classifier at time <i>t</i><sub><i>c...
<p>Classification accuracies of distinct classification methods for Baranzini dataset and Goertsches...
<p>Classification accuracies of different discretization methods for Baranzini dataset and Goertsche...
<p>The bars and error ticks represent mean values and standard deviations respectively. (A) shows th...
<p>Results for different classification conditions (from left to right: only EEG, only EMG, combinat...
Predictive accuracies of classifiers against benchmark datasets with varying percentages of retained...
<p>The bars and error ticks represent mean values and standard deviations respectively. (A) shows th...
<p>Prediction accuracies obtained by the method as applied to training and test datasets of each tes...
A.) R2 (R-squared) and B.) Mean Absolute Error (MAE). Model name contain the duration (e.g., full we...
<p>Mean coefficients of determination between the model predictions and the mean subjects' decision...
<p>A: Scatter plot of experimentally determined values versus predicted values in D14_ALP model, B: ...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
The performance of prediction models can be assessed using a variety of methods and metrics. Traditi...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
<p>A: Scatter plot of experimentally determined values versus predicted values in D14_ALP model, B: ...
<p>The prediction accuracy <i>A</i> using a logistic regression classifier at time <i>t</i><sub><i>c...
<p>Classification accuracies of distinct classification methods for Baranzini dataset and Goertsches...
<p>Classification accuracies of different discretization methods for Baranzini dataset and Goertsche...
<p>The bars and error ticks represent mean values and standard deviations respectively. (A) shows th...
<p>Results for different classification conditions (from left to right: only EEG, only EMG, combinat...
Predictive accuracies of classifiers against benchmark datasets with varying percentages of retained...
<p>The bars and error ticks represent mean values and standard deviations respectively. (A) shows th...
<p>Prediction accuracies obtained by the method as applied to training and test datasets of each tes...
A.) R2 (R-squared) and B.) Mean Absolute Error (MAE). Model name contain the duration (e.g., full we...
<p>Mean coefficients of determination between the model predictions and the mean subjects' decision...
<p>A: Scatter plot of experimentally determined values versus predicted values in D14_ALP model, B: ...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
The performance of prediction models can be assessed using a variety of methods and metrics. Traditi...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
<p>A: Scatter plot of experimentally determined values versus predicted values in D14_ALP model, B: ...
<p>The prediction accuracy <i>A</i> using a logistic regression classifier at time <i>t</i><sub><i>c...
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