回帰分析 ## 平均二乗誤差をルート def error(actual, predicted): actual = np.log(actual) predicted = np.log(predicted) return np.sqrt(np.sum(np.square(actual-predicted))/len(actual)) ## 対数変換 def log_transform(feature): train[feature] = n…