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SOLVED: This is python. Use traintestsplit to split the data into a training set (80%) and a test set (20%). Build a degree 10 polynomial regression model with X as input variables and Y as the output variable. Name the model modelpr10. Train the model on the training set and obtain the MSE on the test set. import numpy as np import pandas as pd import matplotlib.pyplot as plt np.random.seed(12345) # Fix a random seed so that the result is replicable. %matplotlib inline # Generate a dataset
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