评判标准是预测打分和真实值之间的均方误差(RMSE)。
The evaluation criterion is the root mean squared error (RMSE) between predicted ratings and true ones.
经标准化处理后，在确定时变参数估值的基础上，建立了大修费用多层递阶预测模型，并成功地实现了大修费用预测。
The Multi?layer hierarchical recursion model for equipment overhaul cost forecasting is successfully established in overhaul cost prediction.
超声分别以肱动脉段收缩期峰值流速值（PSV）、收缩期加速度值（AC）、肱动脉段流速曲线形态异常为标准预测上肢动脉近端病变。
The stenosis in proximal upper extremity was predicted by values of peak systolic velocity (PSV), systolic acceleration (AC), and the abnormal waveforms from brachial artery.
以血管造影为诊断参照标准，超声诊断颈动脉粥样硬化的敏感性、特异性、阳性预测值、阴性预测值分别为91.07%、63.64%、86.44%和73.68%。
Taking DSA as a golden standard, the sensitivity, specificity, positive predictive value, negative predictive value of carotid artery ultrasound was 91.07%, 63.64%, 86.44%, 73.68%, respectively.
分析该蛋白界定标准评判曲妥珠单抗耐药的灵敏度、特异度以及阳性预测值、阴性预测值。
We analyzed the sensibility, specificity, positive and negative predictive values of the SELDI-TOF-MS trastuzumab resistance standard.
针对目前以拟合精度作为模型选择标准的方法，提出了以预测值的置信区间最小为标准选择预测模型的方法。
View of the current selection of forecasting models in order to minimize the fitting error, a method of selecting forecast model was put forward based on minimum error of forecast.
结果以选择性冠状动脉造影结果为标准，活动平板试验敏感性为66.7%，特异性为87.6%，阳性预测值为77.8%，阴性预测值为80.1%。
Results Sensitivity, specificity, positive and negative predictive values of treadmill exercise test for diagnosing CAD were 66.7%, 87.6%, 77.8% and 80.1%, respectively.
最终预测结果为两个模型预测值之和， 以模型的预测标准偏差（RMSEP）作为评价指标， 以便考察新方法的有效性。
The final result of the model was the addition of the two model's validation values, and the root mean squared error of prediction (RMSEP) was used to estimate the mixed model.
最终预测结果为两个模型预测值之和， 以模型的预测标准偏差（RMSEP）作为评价指标， 以便考察新方法的有效性。
The final result of the model was the addition of the two model's validation values, and the root mean squared error of prediction (RMSEP) was used to estimate the mixed model.
应用推荐