Suppose you are working on weather prediction, and your weather station makes one of three predictions for each days weather:Sunny, Cloudy or Rainy. Youd like to use a learning algorithm to predict tomorrows weather.Would you treat this as a classification or a regression problem?

MACHINE LEARNING

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

Suppose you are working on weather prediction, and your weather station makes one of three predictions for each day’s weather:Sunny, Cloudy or Rainy. You’d like to use a learning algorithm to predict tomorrow’s weather.Would you treat this as a classification or a regression problem?

A	Classification
B	Regression
C	Either A or B
D	None of the above

Explanation:

Detailed explanation-1: -Naïve Bayes example code The below example code is to predict whether the person has diabetes or not. In order to predict that we have made use of Gaussian Naïve Bayes algorithm and also to detect the accuracy of our model.

Detailed explanation-2: -Problem Statement Can we predict whether it will rain tomorrow or not using data? Solution: Classification model (Logistics Regression) using Machine Learning can be used for forecasting whether it will rain tomorrow or not.

Detailed explanation-3: -The work proposes to predict a day’s weather conditions. For this the previous seven days weather is taken into consideration along with fortnight weather conditions of past years.

Detailed explanation-4: -Recurrent Neural Networks are the best way for multivariate weather forecasting or prediction.

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MCQ IN COMPUTER SCIENCE & ENGINEERING

COMPUTER SCIENCE AND ENGINEERING

MACHINE LEARNING