Answer Posted / Neelam Goswami

The most frequent metric used to assess model accuracy for classification problems is usually either Accuracy, Precision, Recall, or F1-Score. However, Accuracy can be misleading in imbalanced datasets and F1-score is often preferred instead.

What are standardization and normalisation? Give one advantage of each over the other?

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Tell me what are the last machine learning papers you've read?

208

Tell us do you have research experience in machine learning?

149

Do you have research experience in machine learning?

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