Answer:
-1
Step-by-step explanation:
1. 3x-1
2. -5+-3
3.7-8
4.=-1
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.
Answer:
AROUND $0.20 per mile
Step-by-step explanation:
605/3052 is around 0.198, which rounds to 0.20.
The team ran 2 miles.
Step-by-step explanation:
Step 1; The track is 
miles long and the team ran 2
laps on it. To calculate the distance run we multiply the number of laps ran with the distance on each lap.
Distance run = Number of laps × Distance on each lap.
Step 2; We convert 2 from a mixed fraction into an improper fraction. To do this, we multiply the whole number with the denominator of the fraction and add with it the numerator of the same fraction whereas the denominator remains unchanged. To convert the fraction 2 = ((2 × 3) + 2) / 3 = 
.
Distance run = Number of laps × Distance on each lap = × = 
= 2 miles.
