What is the AUC?Review LaterThe area under the ROC curveThe area under the precision-recall curveThe area under the accuracy-complexity curveThe area under the learning curve
Question
What is the AUC?Review LaterThe area under the ROC curveThe area under the precision-recall curveThe area under the accuracy-complexity curveThe area under the learning curve
Solution
AUC stands for "Area Under the Curve". It is commonly used in machine learning to evaluate the performance of a binary classification model. The "curve" refers to the ROC (Receiver Operating Characteristic) curve. The AUC gives the rate of trade-off between sensitivity (true positive rate) and specificity (false positive rate). An AUC of 1 indicates a perfect classifier, while an AUC of 0.5 represents a model that is no better than random guessing.
So, the correct answer to your question is "The area under the ROC curve".
Similar Questions
AUC-ROC score is more robust than Accuracy for imbalanced classes.
What does the ROC curve help determine in model evaluation?1 pointThe relative misclassification cost of the modelThe true-positive rate and false-positive rate for different criteria The optimal model based on diagnostic measuresThe model's statistical significanc
A neural network model is identifying a positive class point as a negative class sample and vice versa. What does it mean in terms of AUROC?Select an option Clear ResponseAUROC is approximately 100%.AUROC is approximately 80% with minimal overlapping between the classes.AUROC is approximately 50% with equal segregation between the classes.AUROC is approximately 0%.
Which of the following evaluation metrics is used to evaluate a model while modelling a continuous output variable? AUC-ROC Accuracy Logloss Mean-Squared-Error
Choose the most widely used mattress and tools to assess the classification models.(1 Point)The area under the ROC curveConfusion matrixCost-sensitive accuracyAll of the above
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.