Unknown null value 完全未知的空值
Unknown initial value 未知初始数值
value and contents unknown 价值及内容不明
unknown value 未知量
Then, whenever we have a new data point, with an unknown output value, we put it through the model and produce our expected output.
之后,只要我们有一个输出值未知的新的数据点,我们都可以将其放入这个模型并生成预期的输出。
The second was classification (also known as classification tree or decision tree), which can be used to create an actual branching tree to predict the output value of an unknown data point.
第二种技术是分类(即分类树或决策树),用来创建一个实际的分支树来预测某个未知数据点的输出值。
Of these, the most important is that of a variable, which is easiest to think of as a placeholder for some piece of data whose value is unknown when the program is written.
其中最重要一个就是变量,你可以把它简单的看做是一个占位符,它其中需要存放的数据值在你写代码时是未知的。
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