Tag Archives: machine learning

The ROC Curve

The ROC Curve is a commonly used method for and evaluating the performance of classification models. ROC curves use a combination the false positive rate (i.e. occurrences that were predicted positive, but actually negative) and true positive rate (i.e. occurrences that were correctly predicted) to build up a summary picture of the classification performance. ROC… Read More »

A Machine Learning Workflow

Machine learning is an essential part of data science – a field which covers a range of activities from data acquisition and cleaning, through to analytics and data visualisation. It can be helpful to think in terms of a machine learning workflow that puts some structure around some of these processes. This post looks at… Read More »