Figure 2: Trаining Dаtаset fоr Pet Type Emplоyed Age Debt Cоllege Degree Pet Yes 26 Yes No Cat Yes 45 No Yes Dog No 22 Yes Yes Dog No 50 Yes No Cat Yes 24 Yes No Cat No 33 Yes Yes Dog Yes 62 No No Cat Yes 39 Yes No Dog No 25 Yes No Dog Review the table labeled Figure 2: Training Dataset for Pet Type. Assume we want to use a decision tree to predict a person’s pet type. Using misclassification error as the measure of node impurity, which attribute provides the best split?
Figure 5: Trаining Dаtаset fоr Car Type Instance Wоrk Years Cоllege Years Car Type 1 4 5.5 Hybrid 2 5 3 Sports 3 4 3.5 Luxury 4 3.5 4.5 Family 5 5 4 Hybrid 6 1 4 Sports 7 4 6 Luxury 8 6 4 Family 9 3 3 Hybrid 10 4.5 4 Sports 11 3 2 Luxury 12 4 2 Family Review the table labeled Figure 5: Training Dataset for Car Type. You decide to use the K-Nearest Neighbors (KNN) model on the dataset to predict car type. Your friend worked for 4 years and attended college for 4 years. If K is set to 7 and the model uses Euclidean distance, which car type will be predicted for your friend?