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NegativeIt refers to the category opposite to the positive class in binary classification. In binary classification problems, there are two types of dependent variables: negative and positive. It can be written as the dependent variable y ∈ { 0 , 1 } , where 0 represents the negative class and 1 represents the positive class.
The positive class is the target we need, and the negative class is another possibility. For example, the negative class in medical testing may be "non-tumor", and the negative class in an email classifier may be "non-spam".
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.
Date
NegativeIt refers to the category opposite to the positive class in binary classification. In binary classification problems, there are two types of dependent variables: negative and positive. It can be written as the dependent variable y ∈ { 0 , 1 } , where 0 represents the negative class and 1 represents the positive class.
The positive class is the target we need, and the negative class is another possibility. For example, the negative class in medical testing may be "non-tumor", and the negative class in an email classifier may be "non-spam".
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.