Evaluate the model

Compute the $R^2$ score and the Mean Squared Error $($MSE$)$ on the test data

$[]$ ## Your code here

Answer a question

Does your model acheive baseline performance, as defined in simple$\_$regression notebook?

Note: Here is a way to find the worst errors in the data set $($pos$,$ neg$)$:

$($y$\_$predicted $-$ y$\_$test$).$max$(),($y$\_$test $-$ y$\_$predicted$).$max$()$

Can you think of a way to build a better model?

$[]$ res $=[($let$,$ num$)$ for let in 'abc' for num in $\text{'}314\text{'}]$

$[]$ res

$])$:$\})$:$\}$

$(\text{'}a\text{'},\text{'}1\text{'}),$

$(\text{'}a\text{'},\text{'}4\text{'}),$

$(\text{'}b\text{'},\text{'}3\text{'}),$

$(\text{'}b\text{'},\text{'}1\text{'}),$

$(\text{'}b\text{'},\text{'}4\text{'}),$

$[(\text{'}c\text{'},\text{'}3\text{'}),$