Algorithm 1. Decision Logic for Binary Classification

//This process below usually uses the classifier’s output //Binary Classifier has Single Output Node 1: Start 2: κ  ⃪  Classification Threshold (cut-off) 3: C1  ⃪  Normal Class 4: C2  ⃪  Aphasia Class 5: Q  ⃪  Classifier output//normalized between 0 and 1 6: if Q > κ then C1  //the tested speech is normal else C2  //the tested speech is aphasic 7: End