The answer is D. All of the above.
The computational complexity of K-NN increases as the size of the training data set increase and the algorithm gets significantly slower as the number of examples and independent variables increase.
Also, K-NN is a non-parametric machine learning algorithm and as such makes no assumption about the functional form of the problem at hand.
The algorithm works better with data of the same scale, hence normalizing the data prior to applying the algorithm is recommended.
So the easiest way to solve this is to use the straight line provided .
180=90+61+x
180=151+x
29=x
63 divided by 12 is <span>5.25</span>
Answer:
(0,5) is on the y-axis
Step-by-step explanation:
Since the x value is 0, it is not left or right of (0,0), thus it does not leave the y-axis. Since its y-value Is 5, it goes up 5 units from (0,0) but still it does not leave the y-axis.
Answer:
Boy a dont no but good luck
Step-by-step explanation:
i am not smart but sonthing like 67