Thus, a single unsigned byte would be dedicated for a predicted value, and predicting the 6,005,940 ratings of the test set would require 6,005,940 bytes.
这样,单个的无符号字节将决定一个预测值,而预测 6,005,940 个测试集中的打分需要 6,005,940 个字节。
Objective To set up a new method for predicting air sickness susceptibility.
目的探索新的晕机病易感性预测方法。
A model set up by the authors not only can be used for predicting squealing characteristic, but also for studying the factors influencing squealing characteristic.
所建立的模型,既可以预测尖叫特性,也可分析影响尖叫特性的因素。
应用推荐