APPLICATION OF SUPERVISED LEARNING
SUPERVISED AND UNSUPERVISED LEARNING
| Question 
 [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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|  |  Binary classification 
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|  |  Multiclass multilabel 
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|  |  Singleclass multilabel 
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|  |  Multiclass Single Label 
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Detailed explanation-1: -The answer to the question is option a, ‘’ Predicting whether it will rain or not on a particular day". It is not a classification task because, here the machine is making predictions instead of classifying into categories.
Detailed explanation-2: -Multi-label classification involves predicting zero or more class labels. Unlike normal classification tasks where class labels are mutually exclusive, multi-label classification requires specialized machine learning algorithms that support predicting multiple mutually non-exclusive classes or “labels.”
Detailed explanation-3: -Multiclass classification means a classification problem where the task is to classify between more than two classes. Multilabel classification means a classification problem where we get multiple labels as output.