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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
