The conversation between human and AI assistant.
How can I deal with missing values in a predictive model?
If I choose to remove rows or features with missing values, how do I decide which ones to remove?
One common approach is to remove any rows with missing values, as long as the proportion of missing values is not too large. Alternatively, if only certain features have a high proportion of missing values, those particular features could be removed while retaining the remaining features. However, it is important to consider the potential impact on the overall quality of the dataset when removing data points or features.