Question

In machine learning algorithms, if the sample training data is too less, what happens to the model? ​

Answer 1

in Machine Learning - KDnuggets

However, much fewer data can be used based on the use case. Overfitting: refers to a model that models the training data too well. It happens when a model ...

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Answer 2

Answer:

over fitting

Explanation:

the explanation is easy just see the data is less the machine algorithm will just be a limited memory