Content: Machine Learning, Logistic regression steps, Probability matrix, Confusion matrix, Accuracy score, Recall value, Data preprocessing, Label encoding, Scaling the data, Splitting train test data, Running Logistic Regression, Y prediction on test data, Class imbalance, Type 1 & Type 2 errors.
machine-learning confusion-matrix data-preprocessing class-imbalance label-encoding accuracy-score probability-matrix recall-value scaling-the-data splitting-train-test-data y-prediction-on-test-data type-1-and-type-2-errors
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Updated
May 6, 2024 - Jupyter Notebook