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306264301
Posts: 28
Posted 10:25 Mar 14, 2020 |

I have a question. On the last part of the homework.  Do we use gridSearch again, or just cross validation?

mpourhoma
Posts: 39
Posted 11:41 Mar 14, 2020 |

If you use sklearn Gridsearch, it will automatically use cross validation. Please see Lab3,4 tutorials.

 

306264301
Posts: 28
Posted 12:58 Mar 14, 2020 |

I see, but this time we apply it on the testing data instead? With the best batch_size and epochs,  we got from part g.

mpourhoma
Posts: 39
Posted 13:42 Mar 14, 2020 |

In part g, You have to try it on training data only:

grid.fit(X_train, y_train)
 

Last edited by mpourhoma at 18:15 Mar 14, 2020.
306264301
Posts: 28
Posted 14:15 Mar 14, 2020 |

For part  h?

mpourhoma
Posts: 39
Posted 18:18 Mar 14, 2020 |

In part g, You have to try Gridsearch on "training data" to find the best model (associated with the best epochs and best batch-size).

Then, in part h, you will evaluate this best model on the testing data.

306264301
Posts: 28
Posted 18:20 Mar 14, 2020 |

Thanks.