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I have 20 million records of Dataset to train the model.

Why Label column I have to add?

Cœur
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Saheel Ahmed
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    i don't know ML.NET at all but without seeing any code and by thinking i would say how can you refer to that data later on if you do not assign a name to the column? – Davide Piras Nov 06 '19 at 22:43
  • Sample code you can check from the official site of ml.net As I'm also started but not getting why we need additional ”Label” column to train the model. – Saheel Ahmed Nov 06 '19 at 22:46
  • Where as https://www.h2o.ai they don't need any additional column for the dataset. – Saheel Ahmed Nov 06 '19 at 22:49

3 Answers3

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Label is how ML.NET calls the 'target variable', the one that you want to predict, based on the other variables, called features.

If you do not give ML.NET a 'label column name' (or a name of your 'target variable' column), it will assume that the label column is called Label. Hence the error you are probably seeing Label column 'Label' is not found.

Zruty
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The "label" is what your model needs to predict. That is done by training your model with "features" or in other words, information that has relevance to the "label".

Patrick
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For example lets say we have an image data in the form of pixels in an excel file, if you have a number "5" and it has 50 features. Now 5 is what the "label" holds, and the 50 features are used to learn what a 5 looks like. So label is needed because otherwise it doesn't know what the features belong to.

Muhammad Ibrahim
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