Posts tagged 'ROC'

Analysing Model Perfromance from Receiver Operator Characteristic and Recall and Precision curves

ROC and PR curves are commonly used to present results for binary decision problems in machine learning. The ROC curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR) at various threshold settings. Each point of the ROC curve (i.e. threshold) corresponds to …

in Statistical Analysis · Sat 09 June 2018

Building Machine Learning models with Imbalanced data

In this blog post, I'll discuss a number of considerations and techniques for dealing with imbalanced data when training a machine learning model. The blog post will rely heavily on a sklearn contributor package called imbalanced-learn to implement the discussed techniques. Training a machine learning model on an imbalanced dataset …

in Statistical Analysis · Mon 09 October 2017