Iris Flower Classification Model

The video tutorial covers a multiclass classification problem using the iris dataset. It explains how to implement logistic regression, a binary classification algorithm, for multiclass problems using one-vs-one and one-vs-rest strategies. The tutorial includes data preparation, balancing training and testing data, and evaluating model performance using confusion matrices. It emphasizes the importance of balanced data and demonstrates how to achieve it using the stratify parameter in train-test split.

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