Interesting Interview Question On Performance Metrics

Key Takeaways

[Music] hello all my name is krishnak and welcome to my youtube channel so guys recently one of my subscriber had been to an interview of data science and you know the interviewer was actually asking him questions related to linear regression now if probably the interviewer may be asking regarding linear regression algorithm questions then obviously you know that you know what will happen is that they will definitely ask related to performance metrics and obviously performance metrics if we talk about linear regression those are like simple questions you know you don't have to work because you don't have to worry much about it because this is probably the first algorithm you will be learning so uh with respect to this and again guys this question may actually confuse you so the question was actually asked that what is the difference between r square versus adjusted r square right now obviously this question is very much simple right he the interval actually started with this particular first question that what is the difference between r square versus register r square everybody will tell and i have also created videos regarding this right now coming to the second question what again the interviewer asked he asked what is the difference between r square versus mean squared error now the confusion will be starting why he may have been asked even though the candidate gives him some answer you know then he will try to confuse him more so the third question that comes up is that what is the difference between r square versus mean absolute error right now the fourth question finally if he answers this also the question was that what is the difference between r square sorry not r square but instead of that mean absolute error versus mean squared error okay so this obviously many people will also be able to answer this many people will also be able to answer what is the difference between msc and rmsc that is root mean squared error but when this kind of situation comes you know many many candidate gets uh you know confusion in order to explain this you know and that is the reason why i'm making up this particular question in front of you and again this is just to check how strong you are because the interviewer had actually asked which is your favorite algorithm the candidate said linear regression right linear regression now when you are asking you are telling that i am very good at linear regression and you are making some type of confusion in performance matrix obviously they are just checking your base i know this is a very very easy question but just understand you may get confused in this two part so yes if you know this particular question please make sure that you write the answer in the comment section and definitely i'll try to make a separate video for this but all the other things related to r square existed r square mean squared error and all i have actually created if i do not make a video also i think you should be able to answer this if you have already seen my playlist okay anyhow the machine learning playlist will be given in the description of this particular video just check it out but please make sure that you pause the video write the answer in the comment section please do this you will be able to see many many many many different different answers probably okay unless and until you're not seeing somebody's comment and writing right so this was the reason just one week back and he told me that krish i faced confusion in making them understand this thing because they were asking more questions on top of that you know so yes please do try to answer this particular question i'll see you in the next video have a great day thank you bye bye