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 […]
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 […]
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 […]
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, […]
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 […]