black box

问题如下：

Which of the following statements is true in the use of ML:

选项：

A.

some techniques are termed “black box” due to data biases.

B.

human judgment is not needed because algorithms continuously learn from data

C.

training data can be learned too precisely, resulting in inaccurate predictions when used with different datasets

解释：

C is correct. Overfitting occurs when the ML model learns the input and target dataset too precisely. In this case, the model has been “overtrained” on the data and is treating noise in the data as true parameters. An ML model that has been overfitted is not able to accurately predict outcomes using a different dataset and might be too complex.