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best_C = best[“params”][“C”] best_solver = best[“params”][“solver”] final_pipe = Pipeline([ (“scaler”, StandardScaler()), (“clf”, LogisticRegression( C=best_C, solver=best_solver, penalty=”l2″, max_iter=2000, random_state=42 )) ]) with mlflow.start_run(run_name=”final_model_run”) as final_run: final_pipe.fit(X_train, y_train)…

Texas3,324Western District of Texas1,678Southern District of Texas1,265Northern District of Texas263Eastern District of Texas118California3,241Eastern District of California1,405Southern District of California980Central District of California773Northern District of California83Minnesota918Florida912Southern District…