The evaluation criterion is the root mean squarederror (RMSE) between predicted ratings and true ones.
评判标准是预测打分和真实值之间的均方误差(RMSE)。
2
Using a least-squared-errorcriterion to determine the line of best fit involves finding estimates of m and b that minimize the squarederror of prediction.
使用最小方差法来确定最吻合的直线涉及寻找使预测方差最小的 m和 b的估计值。
3
The estimators, m and b, that satisfy the least-squared-errorcriterion can be found in two basic ways.