What is the False Positive Rate? The False Positive Rate (Fall-out) is a performance metric that measures the probability that your model will predict positive when the true value is negative. It is closely related to the False Negative Rate, which is completely analogous. The False Positive Rate and the True…
What is the Jaccard Index? The Jaccard Index (JI) is a performance metric that also has many other applications in a variety of fields and domains. That’s why it has a lot of names: Jaccard Coefficient Jaccard’s Coefficient of Community Jaccard Similarity Coefficient Jaccard–Tanimoto Coefficient Tanimoto Similarity Coefficient Short’s Measure…
What is the Matthews Correlation Coefficient? Matthews Correlation Coefficient (MCC) has many names: Phi Coefficient Pearson’s Phi Coefficient Yule Phi Coefficient Contrary to other performance metrics (such as F1-Score), the MCC is regarded as one of the best measures to evaluate class predictions in a binary setting — even if…
What is the Misclassification Rate? The Misclassification Rate is a performance metric that tells you the fraction of the predictions that were wrong, without distinguishing between positive and negative predictions. The Misclassification Rate can be a very misleading metric when the data set is unbalanced (when the prevalence is either very…
What is the Negative Likelihood Ratio? The Negative Likelihood Ratio (LR-, -LR, likelihood ratio negative or likelihood ratio for negative results) gives the change in odds of the true value being positive when the predicted value is negative. This is expressed as a ratio. It is analogous to the Positive…
What is the Negative Predictive Value? Given a negative prediction, the Negative Predictive Value (NPV) is the performance metric that tells you the probability that the true value is negative. It is closely related to the Positive Predictive Value, which is completely analogous. The complement of the Negative Predictive Value…
What is the Positive Likelihood Ratio? The Positive Likelihood Ratio (LR+, +LR, likelihood ratio positive or likelihood ratio for positive results) gives the change in odds of the true value being positive when the predicted value is positive. This is expressed as a ratio. An LR+ of 5 indicates a…
What is the Positive Predictive Value? Given a positive prediction, the Positive Predictive Value (PPV) is the performance metric that tells you the probability that the true value is positive. It is closely related to the Negative Predictive Value, which is completely analogous. The complement of the Positive Predictive Value…
What is the Fowlkes-Mallows Index? The Fowlkes-Mallows Index (FMI, Fowlkes-Mallows Score or G-Mean) is a performance metric to evaluate the similarity of clusters obtained through various clustering algorithms. It is typically used to evaluate the clustering performance of a specific algorithm by assuming that the cluster it is compared to is…
What is the True Negative Rate? The True Negative Rate (Specificity, Selectivity) is a performance metric that measures the probability that your model will predict negative when the true value is negative. It is closely related to the True Positive Rate, which is completely analogous. The False Positive Rate and the…