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Task: Manually Compute Logistic Regression Predicted Probabilities from Scikit-Learn Model Coefficients

Task: Manually Compute Logistic Regression Predicted Probabilities from Scikit-Learn Model Coefficients: a task in Terminal-Lego-15k (Harbor dataset). Write a Python script that trains a Logistic Regression model using scikit-learn, then manually computes the predicted probabilities using the…

The task

Write a Python script that trains a Logistic Regression model using scikit-learn, then manually computes the predicted probabilities using the model's coefficients (`coef_`) and intercept (`intercept_`), demonstrating that the manual computation matches `predict_proba()` output.

Part of PrimeIntellect/Terminal-Lego-15k.