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Complete Understanding of Linear Regression
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In regression tasks, "model.score" can refer to metrics such as R-squared (coefficient of determination), which measures how well the model fits the data. R-squared values range from 0 to 1, with 1 indicating a perfect fit.
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In classification tasks, "model.score" often refers to a metric such as accuracy, which measures the percentage of correctly classified instances in a dataset.
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typically refers to a method or metric used to evaluate the performance of a trained model.
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df_linear = df_linear[(df_linear['fare'] > 10) & (df_linear['fare'] < 40)]
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X.fillna(df['age'].mean(), inplace=True)
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9c
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Sir jb hum decision tree regression algorithm apply kry ga same isi step pr krna?
nice
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nice
2 din ni smjh ayi, agly lectures on kiye wo b na smjh ayen ,,, ab yeh lecture dobara suna complete aur sath sath code ko khd daikha ... bht e behtreen smjh aa gya ha, thank you sir
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