GitHub - mcenroe3/ML-Flow: The IRIS dataset, consisting of four features—petal length, petal width, sepal length, and sepal width—was used for training and testing with logistic regression. MLflow was then utilized to log hyperparameters, accuracy, and other key metrics for experiment tracking and performance evaluation.

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The IRIS dataset, consisting of four features—petal length, petal width, sepal length, and sepal width—was used for training and testing with logistic regression. MLflow was then utilized to log hyperparameters, accuracy, and other key metrics for experiment tracking and performance evaluation.