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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.

Поездка по Австрии [russian]

С 13 по 19 апреля я с семьей (родителями и женой) ездил в путешествие по Австрии. Для недельной поездки на машине мы выбрали большой маршрут – в целом, чуть больше 2000 км. В результате мы объехали всю Австрию с запада на восток с заездом на юг.
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Posted originally by Sam Chapman, University of Sheffield, Department of Computer Science, NLP Group, United Kingdom. Right now, page isn’t available and I’m publishing it here.

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