Given the following dataset consists of two classes (triangle and circle), identify the machine learning algorithm that can achieve zero training loss.
Select one or more:
a. Decision Tree
b. k-Nearest Neighbors
c. Kernel SVM
d. Logistic Regression
e. Perceptron
f. Linear soft-margin SVM
2. Corrected_text: Identify which of the following statements about Perceptron is FALSE.
Select one or more:
a. A linear classifier
b. The output is probabilistic in the range of 0 and 1
c. Heaviside function is used to apply to obtain the prediction.
d. Attributes or features are equally important.
3. Corrected_text: A data scientist just trained a decision tree classifier for brain tumor detection application. He/She notices a very low training error but abnormally high test error. He/She also notices a linear soft-margin SVM classifier performs much better than the decision tree classifier. Identify the cause of the problem.
Select one or more:
a. The decision tree is overfitting
b. The decision tree is too shallow
c. The size of the dataset is small
d. The decision tree is too deep
Title_with_topic: Machine Learning Algorithms, Perceptron, Decision Tree Classifier