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859. Bootstrap confidence intervals
medium
Generalsenior
Function contract
Inputs
- seed
- int
- alpha
- float
- metric
- str
- y_pred
- np.ndarray
- y_true
- np.ndarray
- n_bootstrap
- int
Returns
- value
- tuple
Examples
Input
{
"seed": 123,
"alpha": 0.05,
"metric": "accuracy",
"y_pred": [
0.9,
0.2,
0.6,
0.4,
0.1
],
"y_true": [
1,
0,
1,
1,
0
],
"n_bootstrap": 200
}Output
[
0.4,
1
]Input Signature
| Argument | Type |
|---|---|
| seed | int |
| alpha | float |
| metric | str |
| y_pred | np.ndarray |
| y_true | np.ndarray |
| n_bootstrap | int |
Output Signature
| Return Name | Type |
|---|---|
| value | tuple |
Constraints
Hint 1
Hint 2
Hint 3
Roles
ML Engineer
AI Engineer
Data Scientist
Research Scientist
Companies
GeneralLevels
senior
entry
Tags
bootstrap
confidence-interval
numpy
evaluation-metrics
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