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Confusion Matrix Explained
The confusion matrix is a table that helps to visualize and understand the performance of supervised algorithms where the target is to determine a logical value. In this article, we will demonstrate the confusion matrix on a prediction algorithm of a…
Mean vs. Median
The term “average” can often mislead us and hide valuable and reliable information from our data. It is hard to decide which number we need to use. In everyday statistics and news or even in scientific research, the result is often presented as the…
Which Measurement Scale Should We Use?
During statistical observations, we get results we have to present decently. The method of the presentation depends on various factors such as the type of the observed data: discrete or continuous random variables.The level of measurement or scale of…
Data Science VS Statistics: What Are the Key Differences?
Ever since technology took a toll over all the major and minor spheres that constitute our personal and professional lives, data, and more precisely, big data has become the talk of the town. The most common perception of data that prevails in the…
Column Summary - Table of Statistical Information
The column summary or column metadata is a table that contains several statistical and non-statistical information about the variables of the dataset. This summary is about to give a wholesome picture of each column and helps to explore and…
The Correlation Coefficient Demystified
Correlation and the correlation coefficient seem to be difficult to understand. They sound like some weird mathematical, statistical thing. However, once you understand them, you will think in a totally new way about causality and how things are…
