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In this article, we will be discussing r-squared and adjusted r-squared, its differences, its indication, formula, and more. R-squared The R-squared is a statistical measure that represents the proportion of the variance in a regression model for a dependent variable that is defined by an independent variable or variables. It’s a metric for determining how […]

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## T-test and F-test

In this article, we will go through T-test and F-test in detail. T-Test A t-test is a type of test statistic that helps to compare and determine the means of two groups. It aids in identifying whether or not there is a substantial difference in the means of two groups. In simple words, a t-test […]

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## ANOVA

Analysis of variance (ANOVA) helps to test for differences among three or more population means. The statistician Ronald Fisher developed ANOVA in 1918. ANOVA offers a statistical test for determining whether two or more population means are equal. Therefore, it extends the t-test beyond two means. Another popular name for ANOVA is fisher analysis of […]

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## Confusion Matrix

What Is a Confusion Matrix? A confusion matrix is a popular statistic for resolving classification tasks in machine learning. Typically, after collecting, cleaning, wrangling, and manipulating data, the first thing we do is feed it to an excellent model and make predictions from it. However, it is critical to assess the effectiveness of our model, […]

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## XGBoost Classifier

What is XGBoost classifier all about? What are its features? Why do people prefer it? We are going to discuss all this in detail. Boosting Boosting is an ensemble learning method. It is basically a combination of algorithms that transforms weak learners into strong learners. Boosting algorithm is one of the most popular technique in […]

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## Entropy and Information Gain in Decision Tree

Entropy and Information Gain in Decision Tree are classifications of it. Before we get into this, let us understand better about Decision Tree and its uses. Decision Tree If you read my article on ‘Classification Algorithms in Machine Learning‘, I have defined decision tree as: “The decision tree method classifies data in the form of […]

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## Understanding Interquartile Range (IQR) in Statistics

Interquartile Range IQR is one of the most important topic that comes under descriptive statistics. This article is going to speak in length about it. If you read my previous article about handling outliers, you must have come across a small introduction to the IQR. The interquartile range (IQR) is nothing but the difference between […]