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Siddharthan machine learning

Which classifier is more suitable for the diabetes data set?

1 April 2022 Enpatika.com Genel

Logistic Regression is one of the most common classification algorithms. The default value of C=1 provides with 78% accuracy on the training and 77% accuracy on the test set. Using C=0.01 results in lower accuracy on both the training and the test sets.

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Which classifier is more suitable for the diabetes data set?

1 April 2022 Enpatika.com Genel

Logistic Regression is one of the most common classification algorithms. The default value of C=1 provides with 78% accuracy on the training and 77% accuracy on the test set. Using C=0.01 results in lower accuracy on both the training and the test sets.

Read more

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