Exercise

# Build better models

Earlier you built a collection of simple models to fit **life expectancy** using the **year** feature. Your previous analysis showed that some of these models didn't fit very well.

In this exercise you will build multiple regression models for each country using all available features. You may be interested in comparing the performance of the four worst fitting models so their adjusted \(R^2\) are provided below:

Country | Adjusted \(R^2\) |
---|---|

Botswana | -0.0060772 |

Lesotho | -0.0169851 |

Zambia | 0.1668999 |

Zimbabwe | 0.2083979 |

Instructions

**100 XP**

- Build a linear model for each country predicting
`life_expectancy`

using every feature in the dataset. - Append a column (
`fit`

) containing fit statistics for each model and simplify this dataframe. - Print the adjusted \(R^2\) in
`fullmodel_perf`

of the four countries from`worst_fit`

dataframe.