Построение регрессионной модели в задачи предсказания затрат
Автор
| age | sex | bmi | children | smoker | region | charges |
|---|---|---|---|---|---|---|
| 19 | female | 27.9 | 0 | yes | southwest | 16884.924 |
| 18 | male | 33.77 | 1 | no | southeast | 1725.5523 |
| 28 | male | 33 | 3 | no | southeast | 4449.462 |
| 33 | male | 22.705 | 0 | no | northwest | 21984.47061 |
| 32 | male | 28.88 | 0 | no | northwest | 3866.8552 |
| 31 | female | 25.74 | 0 | no | southeast | 3756.6216 |
| 46 | female | 33.44 | 1 | no | southeast | 8240.5896 |
| 37 | female | 27.74 | 3 | no | northwest | 7281.5056 |
| 37 | male | 29.83 | 2 | no | northeast | 6406.4107 |
| 60 | female | 25.84 | 0 | no | northwest | 28923.13692 |
| .. | .. | .. | .. | .. | .. | .. |