The correct answer is: B. labeled dataset.
A labeled dataset is a set of data that has been annotated with labels that indicate the desired output for each input. This is in contrast to an unlabeled dataset, which does not have any labels. Labeled datasets are essential for supervised learning, which is a type of machine learning that requires labeled data in order to train a model.
A csv file is a type of file that stores data in a tabular format. Each row in a csv file represents a single data point, and each column represents a different attribute of that data point. Csv files are often used to store labeled datasets, but they can also be used to store unlabeled datasets.
An excel file is a type of file that stores data in a spreadsheet format. Each cell in an excel file can contain a value, a formula, or a comment. Excel files are often used to store data, but they are not typically used to store labeled datasets.
In conclusion, the correct answer to the question “Type of dataset available in Supervised Learning is” is B. labeled dataset.