Version 2015.1 features the very popular K-Nearest Neighbors (KNN) classification algorithm (Pro package). KNN is an intuitive, yet a very efficient supervised machine learning classifier. XLSTAT proposes various distance functions to match your specific needs. Computations run with an unbeatable speed.
Furthermore, the Cochran Q non-parametric test now includes exact and Monte Carlo approximation options to compute p-values. The algorithm used was developed by the XLSTAT team and outperforms by far all of the software solutions that exist in terms of speed.
This webinar presents the principles of Supervised Machine Learning & Prediction, with demos using the XLSTAT data analysis software. May 5, 2020 5:00 PM - 6:00 PM CEST
This webinar is an intuitive introduction to ANOVA and various associated options: conditions of validity, interactions, multiple comparisons... It will be illustrated with real examples using the XLSTAT software. Apr 28, 2020 5:00 PM - 6:00 PM CEST
This webinar presents the principles of statistical testing, with demos using the XLSTAT data analysis software. Apr 21, 2020 5:00 PM - 6:00 PM CEST