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what is the reault of an overfitted model in data science ? A . the model falls to detect outliers B . the model falls

what is the reault of an overfitted model in data science

?

.

the model falls to detect outliers

.

the model falls to estimate missing values

.

the model performs significantly worse on new data

.

the model falls to complete the training process

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