Lab - Progress Report March 27th

[Mikeltec]

Please submit a progress report (minimum of 3 pages) outlining the following aspects of your project:

1. Description of the dataset utilized and the split you have implemented for training, validation, and testing.

2. Explanation of the data preprocessing approach applied.

3. Discussion on the model(s) chosen and/or trained, including the rationale behind selecting these models for your specific project.

4. Summary of the latest training and test results (if applicable).

5. Specification of the evaluation measures (such as accuracy, recall, precision, etc.) that you have obtained for the training and test results.

Please note that if any of the above steps are incomplete, provide an explanation of your expectations for completing them.

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