What does a confusion matrix tell you? A confusion matrix can tell you how good your predictions are compared to actual results. In machine learning terms, it shows how your model performs when making predictions. This article includes: what is a confusion matrix? why use a confusion matrix? what are true positives (TP), false positives […]
Support vector machines explained Support vector machines in simple terms are a form of machine learning classification that uses a line that marks the boundary between the classes of the data points. The boundary, called the decision boundary, perfectly splits the area between the closest data points of the classes. The closest data points from
What is machine learning in simple terms? Machine learning in simple terms is a way of creating a model out of data and using this model to either gain insights from patterns in the data or predict values using the model. The data must be in numeric form and the model is created using desired
What is linear regression in simple terms? Linear regression in simple terms is a supervised learning algorithm that uses the relationship between data points to form a best fit line called a regression line. If there is a strong relationship in the data then the regression line is used to calculate the value of a
