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Q1: A model has been tested and the following model evaluation measures are observed. Calculate the MSE and MAE and which one is better for this dataset?

Y(Actual)	Y’(Predicted)
10.2	9.4
3.5	1.7
7.1	6.9
14.5	15.4
17.2	18.4
41.5	17.2
2.7	2.5
11.5	11.1
5.9	6.7
15.3	15.2

 

Q2: If engine Size = 130, horsepower= 111, PeakRpm = 5000, Length = 16, Width = 6, Height = 13, Calculate the price of car and write the model name which is suitable for this example?

Q3: By using the following cost function of gradient descent, derive the equation for third co-effient?

Q4: An OLS model is trained on the dataset and the following results are stated in the table. Calculate the R2 from the following table? What does that R-squared value mean?

y-actual	Y-Predicted
700	782.3275862
900	977.5862069
1300	1172.844828
1750	1563.352069
1800	1953.87931

 

#Machine learning #Computer Science all subject past paper  Machine learning #Computer Graphics  Course  #Machine learning Project idea  # Machine learning MCQ  #Machine learning Interview Question  #Computer Science all courses #Technology #University Past Paper #Programming language  #Question paper  #old paper