All you have from their model is the following table which contains data of 10 patients.
| Patient ID | Heart Disease | Predicted Probability for Heart Disease | Predicted Label |
| 1001 | 0 | 0.34 | 0 |
| 1002 | 1 | 0.58 | 1 |
| 1003 | 1 | 0.79 | 1 |
| 1004 | 0 | 0.68 | 1 |
| 1005 | 0 | 0.21 | 0 |
| 1006 | 0 | 0.04 | 0 |
| 1007 | 1 | 0.48 | 0 |
| 1008 | 1 | 0.64 | 1 |
| 1009 | 0 | 0.61 | 1 |
| 1010 | 1 | 0.86 | 1 |
Now, you wanted to find out the cutoff based on which the classes were predicted, but you can't. But can you identify which of the following cutoffs would be a valid cutoff for the model above based on the 10 data points given in the table? (More than one option may be correct.)
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