Table V: Training AUC with and without CPR with heartrate included as a feature from Machine learning and feature engineering for predicting pulse presence during chest compressions

Comparison of Training AUC values and 95% confidence intervals for various models with and without heartrate (HR), where LDA : Linear Discriminant Analysis, QDA :Quadratic Discriminant Analysis, SVM: Support Vector Machine, GMM: Gaussian Mixture Model, LR: Logistic Regression, RF: Random Forest, NN: Neural Network, ConvNN: Convolutional Neural Network.