now we'll plot the polynomial this came up with against the training data we can scatter our original data for the training data setand then we can plot our predicted values against themjnqpsunbuqmpumjcqzqmpubtqmu yq oqmjotqbdf byft qmubyft byfttfu@ymjn byfttfu@zmjn qmutdbuufs  qmuqmpu yqqyq  qmutipx you can see in the following graph that it looks like pretty good fitbut you know that clearly it' doing some overfittingwhat' this craziness out at the righti' pretty sure our real dataif we had it out therewouldn' be crazy highas this function would implicate so this is great example of overfitting your data it fits the data you gave it very wellbut it would do terrible job of predicting new values beyond the point where the graph is going crazy high on the right so let' try to tease that out let' give it our test datasetuftuy oqbssbz uftu uftuz oqbssbz uftubyft qmubyft