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 | # Split a dataset based on an attribute and an attribute value def t_split(x, y, z): l, r = list(), list() for row in z: if row[x] < y: l.append(row) else: r.append(row) return l, r # Calculate the Gini index for a split dataset def gini_index(grp, class_values): gini = 0.0 …  |