Classification

Machine Learning Classification in Python - Part 2: Model Implementation and Performance Determination

This is the second part of our series Automated Classification in Python where we use several methods to classify the UCI Machine Learning record “Adult”. In this article, after generating data from…


Machine Learning Performance Indicators

In this article, we present a set of metrics that can be used to compare and evaluate different methods and trained models for classification problems. In our article, Machine Learning Classification…


Machine Learning Classification in Python - Part 1: Data Profiling and Preprocessing

This is the first part of the series, Automated Classification in Python, in which we demonstrate how to classify a given data set using machine learning classification techniques. In the following…


Model Validation and Overfitting

The model validation procedure describes the method of checking the performance of a statistical or data-analytical model. A common method for validating neural networks is k-fold cross-validation.…


Clustering with Machine Learning

The clustering problem is the grouping of objects or data into clusters. In contrast to classification, they are not predetermined but result from the similarity of the different objects considered.…


Machine Learning Method for Data Classification

Classification methods divide objects into predefined categories according to their characteristics with the help from classifiers. A classifier is a function that maps an input to a class and its…