Visualization: performance of learning of different algortithms on synthetic data sets

Performance of learning of different algortithms on synthetic data sets

Performance of learning of different algortithms on synthetic data sets

Long time no see, if anyone is reading this blog. Few days ago, I found very interesting visualization of how different ML algorithms are performing on synthetic data sets. The study conatins Bayes, KNN, regression, rule- and tree-based, SVM models. No wonder, that SVM with well-tuned RBF kernel gamma and cost parameters is performing very good, the same for tree-based models.