All the time appears new possibilities of deploying machine learning algorithms into the .NET environment. It can be quite tough to choose a certain way, especially for indecisive guys. 🙂 Unfortunately, I will make it even harder, because I would like to introduce you to ONNX. What is it?...
I already introduced you to Adaptive Boosting Classifier and Gradient Boosting Classifier, so now it is time to go to another ensemble classifier which I used in my research during creating a master’s thesis – Stacking. It will be a theoretical introduction to this algorithm and an example of...
I graduated in Computer Science a few days ago, so now I have finally time to writing again here. Some time ago I wrote an article about Adaptive Boosting Classifier. Today I would like to introduce you to another ensemble classifier – Gradient Boosting Classifier. Here we are dealing...
I am just finishing writing my master’s thesis, whose subject is recognizing epileptic states based on the EEG signal using the ensemble classifiers. One of the ensemble classifiers that I used in my research was Adaptive Boosting Classifier. I decided to write an article about it. This will be...
If you have some experience in machine learning and have evaluated the results of some classifications, you have certainly used metrics such as accuracy, precision or f1-score. However, there are also other, less popular metrics that are worth using. One of them is cohen’s kappa. Today I want to...
