Accertify Data Science Analyst Interview Questions and Answers

Precision and recall are two metrics used to evaluate the performance of a classification model.

• Precision measures the proportion of true positives among all positive predictions.

• Recall measures the proportion of true positives among all actual positives.

• Both metrics are important in different scenarios, depending on the cost of false positives and false negatives.

• For example, in a medical diagnosis scenario, recall ma...read more

Normalization and standardization are techniques used to transform data into a common scale.

• Normalization scales the data between 0 and 1, making it easier to compare different features.

• Standardization transforms the data to have a mean of 0 and standard deviation of 1, making it easier to compare different samples.

• Normalization is useful when the scale of the features varies widely, while standardization is useful whe...read more

Variance and standard deviation are measures of spread or dispersion of a dataset.

• Variance is the average of the squared differences from the mean.

• Standard deviation is the square root of variance.

• They are used to understand the distribution of data and to compare different datasets.

• Higher variance or standard deviation indicates more spread or variability in the data.

• Lower variance or standard deviation indicates less