Online Experimentation

Let's see how to evaluate the model's performance through online experimentation.

Let’s look at the steps from training the model to deploying it.

Step 1: Training different models

Earlier, in the training data generation lesson, we discussed a method of splitting the training data for training and validation purposes. After the split, the training data is utilized to train, say, fifteen different models, each with a different combination of hyperparameters, features, and machine learning algorithms.

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