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Item (feature) | Model (feature) | Brand (feature) | ItemId (PredictedLabel)
Based on the Item, Model and Size given as test data, I wanted to predict the ItemId. How is this possible, and what algorithm should I use to achieve this. I tried using Multiclass classification, and since Label column contains unique sequential values, each is considered as a separate class, and even with few data, it takes a very long time to train, with 0% accuracy. I am using ML.Net 1.4.0. Would appreciate if a sample code is shared.
There is no such thing as best algorithm because it really depends on your dataset and problem that you are trying to solve. I will recommend building a basic pipeline from the samples just to get something working and then playing with the hyperparamters/trainers. Also please consider using more examples and may use of our sample datasets used in the samples.