Point out the wrong statement.
A. In Sample Error is also called generalization error
B. Out of Sample Error is the error rate you get on the new dataset
C. In Sample Error is also called resubstitution error
D. All of the mentioned
Answer: Option A
This Question Belongs to Data Science >> Machine Learning Algorithms
A. Linear Regression
B. K-Means Clustering
C. Decision Tree
D. Logistic Regression
In machine learning, what does the term "overfitting" refer to?
A. The model performs well on the test data
B. The model fits the training data perfectly
C. The model fails to generalize
D. The model is too simple to learn patterns
A. Support Vector Machine (SVM)
B. K-Means Clustering
C. Random Forest
D. Linear Regression
What is the primary goal of a decision tree algorithm in machine learning?
A. To minimize errors on the training data
B. To create a linear regression model
C. To visualize data relationships
D. To classify data points into categories
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