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You have a dataset about penguins. Each row represents a specimen and contains physical characteristics, but in the provided dataset we don't have information about their sex.
The available columns are:
id: unique identifier of the specimenculmen_length_mm: beak length in millimetersculmen_depth_mm: beak depth in millimetersflipper_length_mm: flipper length in millimetersbody_mass_g: body mass in gramsData example:
| id | culmen_length_mm | culmen_depth_mm | flipper_length_mm | body_mass_g |
|---|---|---|---|---|
| 1 | 40.5 | 18.9 | 180.0 | 3950.0 |
| 2 | 49.4 | 15.8 | 216.0 | 4925.0 |
| 3 | 36.2 | 16.1 | 187.0 | 3550.0 |
Based on the physical characteristics, identify the penguin sex (MALE or FEMALE) and generate a submission.csv file with the following structure:
id,sex1,MALE2,FEMALE3,FEMALE...The metric used for model evaluation is accuracy:
accuracy = (number_of_correct_predictions / total_number_of_predictions)