Why don't we use unit step function in logistic regression?










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Why do not we use unit step function for classification ?Rather we use logit function, which can also depict 0 or 1, the cost computation of logistic regression is high if we see the cost function curve where as unit step function divide the classification data by the y axis when it has 2 features eg.dog and cat.










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    Why do not we use unit step function for classification ?Rather we use logit function, which can also depict 0 or 1, the cost computation of logistic regression is high if we see the cost function curve where as unit step function divide the classification data by the y axis when it has 2 features eg.dog and cat.










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      Why do not we use unit step function for classification ?Rather we use logit function, which can also depict 0 or 1, the cost computation of logistic regression is high if we see the cost function curve where as unit step function divide the classification data by the y axis when it has 2 features eg.dog and cat.










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      Why do not we use unit step function for classification ?Rather we use logit function, which can also depict 0 or 1, the cost computation of logistic regression is high if we see the cost function curve where as unit step function divide the classification data by the y axis when it has 2 features eg.dog and cat.







      machine-learning logistic-regression






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      edited Nov 15 '18 at 7:18







      Biswajeet gope

















      asked Apr 22 '18 at 10:20









      Biswajeet gopeBiswajeet gope

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