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<speak> There is another measure which we can use for checking performance. <break strength="strong"/>It is R2-score. <break strength="x-strong"/> R2-Score or R-squared values range from 0 to 1 <break strength="weak"/>and are commonly stated as percentages from 0% to 100%.<break strength="x-strong"/> We use lr.score to measure R2-score.<break strength="x-strong"/> We pass training data and testing data to calculate R2-Scores. <break strength="x-strong"/> With training data, <break strength="weak"/>we are getting 82% accuracy.<break strength="x-strong"/> With testing data, <break strength="weak"/>we are getting 79% accuracy.<break strength="x-strong"/> Hence our model is performing well. <break strength="x-strong"/> You can continue deploying this model for building a real-time application.<break strength="x-strong"/><break strength="x-strong"/> </speak>