How deep-learning is better for categorical and KNN-classification is for numerical data?

Hi Experts,

How deep-learning is better for categorical and KNN-classification is for numerical data?

Regards,
tony

Hi @train.bi, could you explain your question in more detail?

Hi Aishwarya,

Please find the below problem

You are developing a machine learning model to predict house sale prices based on features of a house. 10% of the houses in your training data are missing the number of square feet in the home. Your training data set is not very large. Which technique would allow you to train your model while achieving the highest accuracy?

Explanation given is

Deep learning is better suited to the imputation of categorical data. Square footage is numerical, which is better served by kNN. While simply dropping rows of missing data or using the mean values are a lot easier, they won’t result in the best results

please let me know your thoughts

Regards,
Tony

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