What does high bias indicate about a model's performance?Question 6AnswerA. The model is performing optimallyB.The model is overfitting the training dataC. The model is underfitting the training dataD.The model has a high variance

What does high bias in a machine learning model indicate?Review LaterThe model is overfittingThe model is underfittingThe model has high varianceThe model is perfectly fit

What does a high variance in a model typically indicate?*1 pointo A) The model is overfitting the datao B) The model is underfitting the datao C) The model has a high biaso D) The model has low flexibility

What is the consequence of a model having low bias and high variance? Overfitting Underfitting High generalization Low computational complexity

What is the bias-variance tradeoff?Review LaterThe tradeoff between model accuracy and model complexityThe tradeoff between model performance on training data and performance on new dataThe tradeoff between underfitting and overfittingThe tradeoff between precision and recall

Which of the following is a characteristic of a model with high variance?Question 4AnswerA.It tends to underfit the training dataB.It performs well on the training data but poorly on unseen dataC.It has a low training error and a low test errorD.It has a high training error and a high test error