Artificial Intelligence (Machine learning & Data mining)

Q5.1 Linear Classifier 1 1 Point Consider the classifier y(t) = sign(wI2 + b), where w, b are real-valued parameters. Which datasets could this classifier shatter? None of these datasets. Data A only. Data A and B. O Data A, B, and C. Data A, B, C, and D. Q5.2 Linear Classifier 2 1 Point Consider the classifier x) = sign(vI1 + WI2 + b), where v, w, b are real-valued parameters. Which datasets could this classifier shatter? None of these datasets. Data A only. Data A and B. Data A, B, and C. Data A, B, C, and D. Q5.3 Quadratic Classifier 1 1 Point Consider the classifier g(x) = sign(( 21 a)2 + (12 b)2 + c), where a, b, c are real- valued parameters. Which datasets could this classifier shatter? None of these datasets. Data A only. Data A and B. Data A, B, and C. Data A, B, C, and D. Q5.4 Quadratic Classifier 2 1 Point Consider the classifier () = sign(w(11- a) + w(12 b)2 + c), where a, b, c, w are real-valued parameters. Which datasets could this classifier shatter? None of these datasets. Data A only. Data A and B. Data A, B, and C. Data A, B, C, and D. Q5.5 Decision Tree 1 Point Consider a one-level decision tree (or decision stump), whose decision node branches by thresholding a single feature. Which datasets could this classifier shatter? None of these datasets. Data A only. Data A and B. Data A, B, and C. Data A, B, C, and D. , Q5.1 Linear Classifier 1 1 Point Consider the classifier y(t) = sign(wI2 + b), where w, b are real-valued parameters. Which datasets could this classifier shatter? None of these datasets. Data A only. Data A and B. O Data A, B, and C. Data A, B, C, and D. Q5.2 Linear Classifier 2 1 Point Consider the classifier x) = sign(vI1 + WI2 + b), where v, w, b are real-valued parameters. Which datasets could this classifier shatter? None of these datasets. Data A only. Data A and B. Data A, B, and C. Data A, B, C, and D. Q5.3 Quadratic Classifier 1 1 Point Consider the classifier g(x) = sign(( 21 a)2 + (12 b)2 + c), where a, b, c are real- valued parameters. Which datasets could this classifier shatter? None of these datasets. Data A only. Data A and B. Data A, B, and C. Data A, B, C, and D. Q5.4 Quadratic Classifier 2 1 Point Consider the classifier () = sign(w(11- a) + w(12 b)2 + c), where a, b, c, w are real-valued parameters. Which datasets could this classifier shatter? None of these datasets. Data A only. Data A and B. Data A, B, and C. Data A, B, C, and D. Q5.5 Decision Tree 1 Point Consider a one-level decision tree (or decision stump), whose decision node branches by thresholding a single feature. Which datasets could this classifier shatter? None of these datasets. Data A only. Data A and B. Data A, B, and C. Data A, B, C, and D