Finally,the testification of algorithm validation was undertaken by measured data of a real freeway.
最后,用实对模型进行校验。
Finally,the testification of algorithm validation was undertaken by measured data of a real freeway.
最后,用实对模型进行校验。
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%.
嫩牛肉分级准确率为83.3%,较粗糙牛肉分级准确率为90.9%,总的分级准确率为870%。
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.
对预集样品利福平、异烟肼的含量预均方根误差(RMSEP)分别为0.00573,0.00379;
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