Q.No.5. The _________ learning model predicts a continuous target variable as a linear functionof input features.

Q.No.5. The _________ learning model predicts a continuous target variable as a linear functionof input features.

Decision trees where the target variable can take continuous values (typically real numbers) are calledSelect one:a. Regression treesb. Classification trees

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

Q.No 5. What is a key challenge in designing a learning system?a. Overfittingb. Underfittingc. Bias-variance tradeoffd. All of the above

What is a Random Forest?Answer areaA type of neural networkAn ensemble learning method that uses multiple decision treesA clustering algorithmA linear model