APPLICATION OF SUPERVISED LEARNING
CLASSIFICATION IN MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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To train the machine learning model.
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To evaluate the performance of the machine learning model
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To tune the hyperparameters of the machine learning model
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None of the above.
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Detailed explanation-1: -The validation data set provides an unbiased evaluation of a model fit on the training data set while tuning the model’s hyperparameters (e.g. the number of hidden units-layers and layer widths-in a neural network).
Detailed explanation-2: -Quick definition. A validation data set is used in supervised machine learning to compare the performance of different trained models. This enables us to choose the correct model class or hyper-parameters within the model class.
Detailed explanation-3: -Cross-Validation dataset: It is used to overcome the disadvantage of train/test split by splitting the dataset into groups of train/test splits, and averaging the result. It can be used if we want to optimize our model that has been trained on the training dataset for the best performance.