Tag: Evaluation Metrics

• Evaluation of Classification Algorithms

  

  There are various classification algorithms such as: Support Vector Machines (Episode 9.1) Logistic Regression (Episode 7.1) Decision Trees (Soon to come) But how do we evaluate these algorithms’ performance? In this episode we look at the following evaluation metrics: Accuracy, Precision, Recall (True Positive Rate), False Positive Rate, Specificity, Sensitivity, F1 score. AUROC Score (Area…

  Mazen Ahmed

  Dec 3, 2021

  Classification Algorithms

  Classification Algorithms, Data Science, Evaluation Metrics

• Evaluating Regression Models

  

  After building a machine learning model whether that is using simple linear regression or gradient boosting it is important to get an idea of just how well your model performs. This article is designed to give you an overview of some of the most common model evaluation methods for regression models along with their advantages…

  Mazen Ahmed

  Oct 6, 2021

  Regression Algorithms

  Data Science, Evaluating Regression Models, Evaluation Metrics