TABLE II:

ML models hyperparameter that learned after training.

ML Models	Parameters
SVM	C=10, probability=True, tol=0.01
RF	max_depth=6, maxj features=5, n_estimators=112, oob_score=True
QDA	None
CNN	Conv1D(128, 3) => BatchNorm() => Conv1D(128, 3) => MaxPool1D(2) => BatchNorm() => Conv1D(64, 5) => MaxPool1D(2) => BatchNorm() => Dropout(0.2) => Conv1D(32, 5) => MaxPool1D(2) => BatchNorm() => Dropout(0.2) => Flatten() => Dense(128) => Dropout(0.2) => Dense(16) => Dropout(0.2) => Dense(2)
BTC	threshold = 0.72