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The ration of predicted positive against the actual positive.

It is the most commonly used error metric is n classification mechanism.

The range is from 0 to 1, where 1 represents 100%.

python data science interview questions and answers python is a high-level programming language using Data Science Now a days

Q. In Data Science What is recall?

A. The ratio of the true positive rate against the actual positive rate.

The range is again from 0 to 1

Q. What Is Logistic Regression in Data Science?

A. It is a statistical technique or a model in order to analyze a dataset and predict the binary outcome. The outcome has to be a binary outcome that is either zero or one or a yes or no.

A. The ratio of the true positive rate against the actual positive rate.

The range is again from 0 to 1

Q. What Is Logistic Regression in Data Science?

A. It is a statistical technique or a model in order to analyze a dataset and predict the binary outcome. The outcome has to be a binary outcome that is either zero or one or a yes or no.

Q. Which metric acts like accuracy in classification problem statement?

A. F1 Score – 2 * (Precision*Recall)/Precision + Recall.

Q. What is a normal distribution?

A. When the data distribution is equally distributed as such the mean, median and mode are equal.

A. F1 Score – 2 * (Precision*Recall)/Precision + Recall.

Q. What is a normal distribution?

A. When the data distribution is equally distributed as such the mean, median and mode are equal.

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