input: from typing import List
  
  def predict_linear_regression(X: List[float], Y: List[float]) -> np.ndarray:
      """ Perform linear regression on the given dataset to predict the next value.
      >>> predict_linear_regression([1,2,3,4,5], [3,5,7,9,13])
      array([11.])
      """
      
      import numpy as np
      from sklearn.linear_model import LinearRegression
      
      X = np.array(X).reshape(-1, 1)
      Y = np.array(Y)
      
      model = LinearRegression()
      model.fit(X, Y)
      
      return model.predict([[7]])
output:     import numpy as np
      from sklearn.linear_model import LinearRegression
      
      X = np.array(X).reshape(-1, 1)
      Y = np.array(Y)
      
      model = LinearRegression()
      model.fit(X, Y)
      
      return model.predict([[7]])