Directional Accuracy vs Logistic Regression

Directional accuracy measures whether a cryptocurrency trading model correctly predicts price movement direction (up or down), regardless of magnitude precision or percentage gains.

Logistic regression is a supervised learning algorithm that predicts binary outcomes (price up/down, profitable/unprofitable) by modeling probability as a function of input features through the logistic function.