6.9. Model Evaluation in Machine Learning | Accuracy score | Mean Squared Error

[@sachinvithubone4278]

Thanks for this video.
I understand when we can use the accuracy score and mean square error.
I have confussion before

[@Siddhardhan]

Happy to help😇

[@mehdilaser6575]

Best channel I ever seen. Good luck brother

[@Siddhardhan]

Thanks a lot 😇

[@abdullahshahid7537]

Your Course Module is Amazing :)

[@Siddhardhan]

Thanks a lot!😇

[@karunamoorthy919]

Thank you so much Siddhardhan

[@Siddhardhan]

you're welcome 😇

[@__Maybe__]

is mean squared error and loss fn same ? they both have the same formula.

[@gauravfamily2209]

how unsupervised model will evaluate? Pls suggest.

[@Siddhardhan]

hi! go through this: towardsdatascience.com/how-to-evaluate-unsupervised-learning-models-3aa85bd98aa2

[@ekaagustina9010]

MSE is similar to Loss function?

[@Siddhardhan]

Hi! MSE is one of the types of loss function. We have other measures for loss functions such as cross entropy loss & KL Divergence

[@hariniannareddy]

Sir MSE zero means it make accurate predictions and also
MSE is less means tell me approximate value ?
For what value it would be less

[@s.bhanuprakashgoud2578]

can we use mean squared error in clustering