2. Solved Example KNN Classifier to classify New Instance Height and Weight Example by mahesh Huddar

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2. Solved Example KNN Classifier to classify New Instance Height and Weight Example by mahesh Huddar

In this video, I have discussed how to apply the KNN - k nearest neighbor machine learning algorithm to predict the class label for the new instance give the height and weight dataset.

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Sir what if in class both the result become equal

umanggupta

Sir where is the video to find the appropriate k values ??
Please attacj it asap i have my exams tomorrow

ChandanaS-gu

will the value of K given in the question or there is another method to find the value of K

arghyagupta

hello sir you said there is a link of a video in description to find the value of appropriate k value, where is that? 🤔🤔 I think you forgot to keep that...

murali

How should we apply this algorithm if we have more than 2 attributes?

almasmind

the values of weights change in according to the question after ranking please check the question

mihikamalik

Sir two distance are level how we will give a rank for that ..

dhanushvcse

good presentation but one thing is clear we have value of K =5 then we will go up to 5 instance or we will go to five instance that have low distance with our data point please clear it

abdulhameedmalik

What if we have equal number of NORMAL AND UNDERWEIGHT 🤔🤫

V.K

X2 or y2 value fix rha ge ya change hogi

mohitrajput

sir suppose if k=3, there are 2 under weight and 1 over weight, then label is under weight, for same problem if k=9 there are 4 under weight and 5 over weight here we assign class label as over weirght .but for k=3 and k= 9 we are assigning 2 different labels for same data, how can we justify it?

rajendern

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