Healthcare Research Team - Flipkart Online Assessment Data Science Role

Problem Preview

"Pattern : 7 Qs ( SQL+Python ) **A healthcare research team wants to predict the quantitative measure of disease progression values in diabetes patients using baseline medical variables. Use the Diabetes dataset available in scikit-learn to build and evaluate a Linear Regression model.** **Dataset:** Use: `from sklearn.datasets import load_diabetes` The dataset contains ten baseline variables, including age, sex, body mass index, blood pressure, and blood serum measurements. **Task:** * Write a Python program that performs the following steps: * Load the Diabetes dataset using `load_diabetes()`. * Separate the dataset into: * Feature matrix X * Target vector y * Read one integer `random_state` from standard input. * Split the dataset into training and testing sets using: * `test_size=0.2` * `random_state` equal to the input value * Train a `LinearRegression` model using the training data. * Predict disease progression values for the test set. * Calculate the Mean Squared Error between actual and predicted values. * Print the Mean Squared Error rounded to exactly six decimal places. **Constraints:** `0 <= random_state <= 10000` **Note:** Do not print any extra text or labels **Input Format:** A single integer `random_state` **Output Format:** Print one floating-point value: the Mean Squared Error rounded to six decimal places. **Sample Input:** `42` **Sample Output:** `2900.193628`"