**Must-Know: How to evaluate a binary classifier** - Apr 11, 2017.

Binary classification is a basic concept which involves classifying the data into two groups. Read on for some additional insight and approaches.

Tags: Classifier, Interview questions, Machine Learning

**Introduction to Local Interpretable Model-Agnostic Explanations (LIME)** - Aug 25, 2016.

Learn about LIME, a technique to explain the predictions of any machine learning classifier.

Tags: Algorithms, Classifier, Interpretability, Machine Learning, Prediction

**KDnuggets™ News 16:n12, Apr 6: Top 10 Essential Books; Perfect Data Science Interview** - Apr 6, 2016.

Top 10 Essential Books for the Data Enthusiast; How to Compute the Statistical Significance of Two Classifiers Performance Difference; The Secret to a Perfect Data Science Interview; If Hollywood Made Movies About Machine Learning Algorithms.

Tags: Books, Classifier, Complexity, Machine Learning

**How to Compute the Statistical Significance of Two Classifiers Performance Difference** - Mar 30, 2016.

To determine whether a result is statistically significant, a researcher would have to calculate a p-value, which is the probability of observing an effect given that the null hypothesis is true. Here we are demonstrating how you can compute difference between two models using it.

Tags: Classifier, Cross-validation, Model Performance