average precision

Average precision is a metric used to measure the accuracy of a model in a machine learning or AI task. It is a measure of the precision of the model in predicting a given outcome. It is calculated by taking the average of the precision values for each class in the model. The precision of a model is the ratio of true positives to the total number of predicted positives. A high average precision indicates that the model is performing well and is able to accurately predict the outcomes. Average precision is a useful metric for assessing the performance of a model in a classification task and can be used to compare different models.