Answer:
Following python statement will give the assignment to testResult as specified:
if((geneticMarkerA == 1) or (geneticMarkerB ==1)):
testResult = 1
if((geneticMarkerA ==1) and (geneticMarkerB == 1)):
testResult = 0
if((geneticMarkerA == 0) and (geneticMarkerB == 0)):
testResult = 0
Explanation:
In above statements or and and operator are used to check the conditions of set of values present in variable geneticMarkerA and geneticMarkerB.
Based on if the condition evaluate to true or false respective values to testResult varaible is assigned.
Following is sample run for above statements:
geneticMarkerA = 1
geneticMarkerB = 0
if((geneticMarkerA == 1) or (geneticMarkerB ==1)):
testResult = 1
if((geneticMarkerA ==1) and (geneticMarkerB == 1)):
testResult = 0
if((geneticMarkerA == 0) and (geneticMarkerB == 0)):
testResult = 0
print(testResult)
Output
1
Answer:
Rules that apply to all situations and accasions in the music room
Explanation:
I hope this helps
Answer:
false
Explanation:
pretty sure energy in motion is only for kinetic energy
the role of an os or operating system is the program that executes everything and makes the computer usable hope this helps
Answer:
Compare the predictions in terms of the predictors that were used, the magnitude of the difference between the two predictions, and the advantages and disadvantages of the two methods.
Our predictions for the two models were very simmilar. A difference of $32.78 (less than 1% of the total price of the car) is statistically insignificant in this case. Our binned model returned a whole number while the full model returned a more “accurate” price, but ultimately it is a wash. Both models had comparable accuracy, but the full regression seemed to be better trained. If we wanted to use the binned model I would suggest creating smaller bin ranges to prevent underfitting the model. However, when considering the the overall accuracy range and the car sale market both models would be
Explanation: