1.Finally,the testification of algorithm validation was undertaken by measured data of a real freeway.
最后,用测数据对模型进行校验。
2.The full cross validation was employed with the classification accuracy of 83.3% and 90.9%.Resultingly, the overall accuracy of classification is 87.0%.
嫩牛肉分级准率为83.3%,较粗糙牛肉分级准率为90.9%,总的分级准率为870%。
3.Using these models for predicting the contents of rifampicin and isoniazide in validation set, the root mean square error of prediction (RMSEP) are 0.00573 and 0 z.00379.