The Separation Plot: A New Visual Method for Evaluating the Fit of Binary Models

By Brian Greenhill, Michael D. Ward, Audrey Sacks. 2011

141 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, General Social Sciences

View Paper: https://www.semanticscholar.org/paper/0e2867b96423c8de2eeb66c9dff3b67053a94597

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. David Muchlinski
2. David S. Siroky
3. M. Kocher
4. Jingrui He

In Computer Vision and Pattern Recognition

1. David S. Siroky
2. Jingrui He

In General Social Sciences

1. David S. Siroky

Citations in the corpus

• Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data (2016, methodology): “One way to gauge the predictive accuracy of any classifier is to use a technique known as a separation plot (Greenhill et al. 2011).”