What are some effective outlier detection methods?

What are some effective outlier detection methods?

There are several methods for detecting outliers, including statistical tests, clustering, and machine learning techniques.

Can you explain the Z-score method?

Sure! The Z-score method identifies outliers by measuring how many standard deviations a data point is from the mean.

What about using the IQR method?

The IQR method uses the interquartile range to determine outliers. Any data point below Q1 - 1.5IQR or above Q3 + 1.5IQR is considered an outlier.

Are there any machine learning approaches?

Yes, techniques like Isolation Forest and One-Class SVM are popular for outlier detection in machine learning.