Package org.elasticsearch.client.ml.dataframe.evaluation.classification

Class AccuracyMetric

java.lang.Object
org.elasticsearch.client.ml.dataframe.evaluation.classification.AccuracyMetric
All Implemented Interfaces:
EvaluationMetric, ToXContent, ToXContentObject
public class AccuracyMetric
extends java.lang.Object
implements EvaluationMetric
AccuracyMetric is a metric that answers the following two questions: 1. What is the fraction of documents for which predicted class equals the actual class? equation: overall_accuracy = 1/n * Σ(y == y') where: n = total number of documents y = document's actual class y' = document's predicted class 2. For any given class X, what is the fraction of documents for which either a) both actual and predicted class are equal to X (true positives) or b) both actual and predicted class are not equal to X (true negatives) equation: accuracy(X) = 1/n * (TP(X) + TN(X)) where: X = class being examined n = total number of documents TP(X) = number of true positives wrt X TN(X) = number of true negatives wrt X