This tool performs a binary classification accuracy assessment, using the Phi coefficient. The Phi coefficient is a measure of association for two binary variables. Introduced by Karl Pearson, this measure is similar to the Pearson correlation coefficient in its interpretation and is related to the chi-squared statistic for a 2×2 contingency table. The user must specify the names of two input images (input1 and input2), containing categorical data.
def phi_coefficient(self, raster1: Raster, raster2: Raster, output_html_file: str) -> None: ...