Proctor Level2_71

Aug 5, 2026

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1

Why did you use One-Hot Encoding instead of Label Encoding?

Times asked 1
2

For every preprocessing step: Why this technique and not another one?

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3

Why did you choose each hyperparameter in your model?

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4

Why did you use eval_metric='logloss'?

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5

Why did you choose a particular threshold value?

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6

Is Pickup Location ID useful? Why?

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7

Is Drop Location ID useful? Why?

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8

What do you observe about the target variable?

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9

Why do you say the target variable is normally distributed?

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10

Explain the advantages and disadvantages of each model you used compared to the others.

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11

Show graphs during EDA.

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12

Explain every graph and why you plotted it.

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13

Plot a graph comparing y_pred vs y_test (or prediction error) for every model.

Times asked 1

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