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<speak> Training and testing errors are small. <break strength="strong"/>That means we are getting acceptable errors. <break strength="strong"/>Hence the error is small. <break strength="strong"/>So our model is predicting with accuracy.<break strength="strong"/> I hope you understand how we will train and test the model. <break strength="strong"/>We have created a multiple linear regression model and train the model using the fit method. We have seen the performance of the model with training data and testing data. <break strength="x-strong"/> With the trained model,<break strength="weak"/> we can predict the chances of admission for any new student.<break strength="strong"/> Now you can deploy the model. <break strength="strong"/>Once deployed, <break strength="weak"/>you can provide student details and can check the chance of admission to the new university based on his profile.<break strength="x-strong"/> </speak>