Product size recommendation and fit prediction are critical to improve customers’ shopping experiences and to reduce product return rates. However, modeling customers’ fit feedback is challenging due to its subtle semantics, arising from the subjective evaluation of products and imbalanced label distribution as most of the feedbacks is "Fit".
Aim is to predict customer satisfaction. This dataset contains information regarding clothes. Each observation is a different fitting size with various features.