Supervised machine learning.

Let us learn some advantages and disadvantages of supervised learning.

Advantages and Disadvantages of Supervised Learning :-

• 𝘈𝘥𝘷𝘢𝘯𝘵𝘢𝘨𝘦𝘴 :

-Supervised learning can provide accurate predictions when trained on labeled data.

-Supervised learning model can predict the output by past experience with the help of supervise learning.

-Supervised learning is capable of handling complex tasks.

-Supervised learning models help us to solve various problem such as Fraud Detection, Spam Filtering, etc.

• 𝘋𝘪𝘴𝘢𝘥𝘷𝘢𝘯𝘵𝘢𝘨𝘦𝘴 :

-Supervised learning cannot predict the correct output if the test data is different from the training dataset.

-In supervised learning we need vast knowledge about the type or class of the object.

-Supervised learning models are not suitable for handling the complex tasks.

-The process of labeling data for training can be very costly.