# Machine Learning

## Why Harmonic Mean is used to calculate F1-Measure?

In this post, we will discuss why do we use Harmonic Mean to calculate F1 score and what is the intuition behind this? and why can’t we just use the product of precision and recall that would also give us a metric that would combine the result of precision and recall? Also, the range of this metric will be in the range of 0 to 1, as both precision and recall lie between 0 and 1, hence the product. By the end of this blog, I will answer all these questions.

## F1-Score, Precision & Recall Explained

In this post, we will discuss F1-Score, Precision and & Recall and How these parameters are useful in machine learning or statistics in general.

## Skewness, Kurtosis and Symmetric Distributions

The first thing is why do we need to study Symmetricity, Skewness and Kurtosis? The simplest answer is because Skewness and Kurtosis help us understand the shape of the Probability Density Functions.

## Squared Error vs Absolute Values

Why do we take squared values of difference instead of absolute values while calculating variance?