The observed responses are subtracted from the projected responses to yield residuals, which are estimates of experimental error. After all of the unknown model parameters have been determined from the experimental data, the anticipated response is calculated using the chosen model.
The 'delta' between the actual target value and the fitted value is the residual in machine learning. In regression issues, residual is a significant notion. It is the foundation of all regression metrics, including mean squared error (MSE), mean absolute error (MAE), and mean absolute percentage error (MAPE).
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Sayali Jadhav
4
Very useful all data
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Syed Mohammad Qaiser Rizvi
5
Way of teaching is very good. I want to get PPT which he is using to teach us ?
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Anuja Bagadi
5
It is a very interactive and useful course..
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Kashinath Myakale
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All courses is very useful for which are looking free courses and gaining knowledge
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ANKiT KUMAR BAMNiYA
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SC
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DOGALA UDAYKUMAR
5
OK
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Anuj Jehta
5
nice
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Nishant Saxena
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great content
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Aditya Purohit
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Very good course & amazing cocepts & detailed explaination of each and every thing .
Thanku soo much Learn Vern ...
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