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Exemplification of the random forest algorithm.

Exemplification of the random forest algorithm.

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Figure 2: Exemplification of the random forest algorithm.
Figure 3: Example with four neighbors, the green dot would be...
Figure 4: Scatter plot of features, (blue: normal, orange: pathological).
Figure 6: Optimal embedding time delay τ
Figure 8: Example of the ROC curve for a Montercarlo trial for every...
Application of Signal Classifiers in Auditory Evoked Potentials for the Detection of Pathological Patients
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  • Mar 2023
The auditory brainstem response (ABR) by evoked potentials is a widespread auditory pathway assessment technique. This is largely applied due to its cost-effectiveness, practicality and ease of use. In contrast, it requires a trained professional to carry out the analysis of the results. This motivates several research efforts to increase the indep...
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... random forest algorithm is an improvement of the single decision tree method, generating a forest of several trees which splits with randomly generated vectors, or random subsets of training data, and computes the score as a function of these different components [8] as shown in Figure 2. ...