hmente / PoisonousMushroomPredictor

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Columns having NaN values #2

Closed hmente closed 3 hours ago

hmente commented 4 hours ago

There are columns having NaN values.

This makes it challenging to understand or accurately analyze the data and, as a result, results in inaccurate results or may lead to overfitting.

hmente commented 3 hours ago
  1. Dropping columns with too many missing values (more than 80%)
  2. Filling missing values with the most frequent value in the remaining columns