Answer:
Bias is the difference between the average prediction of our model and the correct value which we are trying to predict and variance is the variability of model prediction for a given data p[oint or a value which tells us the spread of our data the variance perform very well on training data but has high error rates on test data on the other hand if our model has small training sets then it's going to have smaller variance & & high bias and its contribute more to the overall error than bias. If our model is too simple and has very few parameters then it may have high bias and low variable. As the model go this is conceptually trivial and is much simpler than what people commonly envision when they think of modelling but it helps us to clearly illustrate the difference bewteen bias & variance.
Answer:
Step-by-step explanation:
If we assume that the angle at A is 90 degrees.. which it does seem like it would be. then use that the sum of the angles around the inside of a right triagle is 180 . so you have
180 = 37 + 90 + x
53° = x
does that help?
Answer:
63/100
Step-by-step explanation:
Answer:
Step-by-step explanation:
<u>Operation of Functions</u>
Given:
The sum of (f+g) (x) is:
We cannot operate with the expression inside the absolute bars, thus:
Answer:
brainliest plzzzzz
Step-by-step explanation:
2(x-2) - 3(x-4)
Simplify:
2(x-2)-3(x-4)
2x-4-3(x-4)
Distribute:
2x-4-3(x-4)
2x-4-3x+12
Add the numbers:
2x-4-3x+12
2x+8-3x
Combine like terms:
2x+8-3x
-x+8
Hence Solution = -x+8
