Currently, a TrainingSession has a single score, which is the average of accuracy scores for each market sample guessed vs actual future movement. This score would be more accurately represented as a confidence interval, given the mean score, standard deviation, and a desired confidence level to display.
Currently, a
TrainingSession
has a singlescore
, which is the average of accuracy scores for each market sample guessed vs actual future movement. This score would be more accurately represented as a confidence interval, given the mean score, standard deviation, and a desired confidence level to display.