acc

hhpy.ds.acc(y_true: Union[pandas.core.series.Series, str], y_pred: Union[pandas.core.series.Series, str], df: pandas.core.frame.DataFrame = None) → float[source]

calculate accuracy for a categorical label

Parameters:
  • y_true – true values as name of df or vector data
  • y_pred – predicted values as name of df or vector data
  • df – pandas DataFrame containing true and predicted values [optional]
Returns:

accuracy a percentage