在 英语 中使用 A regression problem 的示例及其翻译为 中文
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This is a classification problem, not a regression problem.
And we can formulate this as a regression problem.
It's can be posed as a classification, a regression problem.
Regression: When predicting continuous values, the problems become a regression problem.
Regression: When predicting continuous values, the problems become a regression problem.
As coordinates are continuous values, this is actually a regression problem.
It is a regression problem which consists 515345 observations and 90 variables.
Regression: When predicting continuous values, the problems become a regression problem.
Looks like this is a classification problem as opposed to a regression problem.
A regression problem has a real number(floating point) as its output.
If y is a continuous/real number, then this will be a regression problem.
In some cases, it is possible to convert a regression problem to a classification problem. .
In some cases, a classification problem can be converted to a regression problem.
Here is a regression problem that you can try your hands on for a deeper understanding.
When we need the output in a continuous range then it's called a regression problem.
When the target variable to be predicted is continuous, we call the learning problem a regression problem.
This is a supervised learning problem, known as a regression problem, because the outcome measurement is quantitative.
Categorize by output: If the output of the model is a number, it's a regression problem.
So, for each of these problems, should they be treated as a classification problem or as a regression problem?
When our targets take on arbitrary real values in some range, we call this a regression problem.