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import pandas as pd from sklearn.model_selection import train_test_split data = pd.read_csv("your_dataset.csv") # Split the data into features and target variable X = data.drop(columns=["target_column"]) y = data["target_column"] # Split the data into training and testing sets X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) # Print the shapes of the resulting datasets print("Shape of X_train:", X_train.shape) print("Shape of X_test:", X_test.shape) print("Shape of y_train:", y_train.shape) print("Shape of y_test:", y_test.shape)