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Machine Learning Foundations, Quiz 1
The ML team in a movie production company wanted to predict whether a movie will earn 100 cr or not by using some classification models. Therefore, the team collected presence/absence of various factors from the movies in the past. The data and the corresponding labels are shown in the Table below.
| [0,1,1] | 0 |
| [1,0,1] | 1 |
| [1,0,0] | 1 |
| [1,1,1] | 1 |
| [1,1,0] | 1 |
Compute the loss of the model if they use
and
Note: Enter the answer correct to two decimal places.
The ML team in a movie production company wanted to predict whether a movie will earn 100 cr or not by using some classification models. Therefore, the team collected presence/absence of various factors $\mathbf{x} = [x_1, x_2, x_3]$ from the movies in the past. The data and the corresponding labels are shown in the Table below. | $\mathbf{x}$ | $y$ | |---|---| | [0,1,1] | 0 | | [1,0,1] | 1 | | [1,0,0] | 1 | | [1,1,1] | 1 | | [1,1,0] | 1 | Compute the loss of the model if they use $$u(z) = \begin{cases} 1, & \text{if } z \ge 0 \\ 0, & \text{otherwise} \end{cases}$$ and $z = 0.5x_1 - 0.8x_2 + 0.4x_3$ **Note:** Enter the answer correct to two decimal places. Figure from the original question paper **Note:** Enter the answer correct to two decimal places. Figure from the original question paper