In classification, when a model is biased toward predicting one class over another, it is known as a(n) ________ problem.
- Clustering
- Imbalanced classification
- Multiclass classification
- Overfitting
When a model consistently predicts one class over another, particularly when the classes are not equally represented, this is known as an imbalanced classification problem.
Loading...
Related Quiz
- Which regression technique uses the logistic function (or sigmoid function) to squeeze the output between 0 and 1?
- In the context of building a model, the _________ are carefully selected and processed to improve the model's performance.
- You've noticed that changing the Epsilon value drastically changes the clustering results in your DBSCAN model. What strategies could you employ to select an optimal value?
- How does the Kernel Trick help in dealing with non-linear data in SVM?
- An organization wants to develop a system that can identify objects in real-time from video feeds, regardless of the objects' positions or angles in the frames. Which neural network characteristic is crucial for this?