Models Using ROC Curve Analysis

Imagine you're provided with three different models designed for a binary classification task. Each model assigns a probability indicating the likelihood of an instance belonging to class 1. Your task is to develop a metric based on the area under the Receiver Operating Characteristic (ROC) curve to assess the performance of these models. Describe the process you would follow to create this metric. Once your metric is operational and verified, you apply it to the three models, obtaining the following results: Model 1: 0.1 Model 2: 0.5 Model 3: 0.8 Provide a concise evaluation of these models and select the most suitable one for use as the classifier.