For small training sets variance may contribute more to the overall error than bias. sometimes this is handled by reducing the complexity of the model, even if the model is too simple. why do you suppose this is the case? come up with your own example of this.

Which of the following is the shape of a cross section of the figure shown below

Someone answer this asap for gabriella uses the current exchange rate to write the function, h(x), where x is the number of u. s. dollars and h(x) is the number of euros, the european union currency. she checks the rate and finds that h(100) = 7.5. which statement best describes what h(100) = 75 signifies? a. gabriella averages 7.5 u. s. dollars for every 100 euros. b. gabriella averages 100 u. s. dollars for every 25 euros. c. gabriella can exchange 75 u. s. dollars for 100 euros. d. gabriella can exchange 100 u. s. dollars for 75 euros.

The quotient of 15 and a number is 1 over 3 written as an equation