Figure 7: Artificial Neural Network Dataset Instance 1 2 3 4 5 6 7 8 9 Actual Class 1 1 -1 -1 1 -1 1 -1 1 Predicted Class -1 1 1 -1 1 1 -1 -1 -1   Review the table labeled Figure 7: Artificial Neural Network Dataset. A forward pass of an Artificial Neural Network finished and the data are classified in the table. What is the total sum of the squared errors?

When updating weights for a perceptron model, in which case would the weight need to increase?

Figure 2: Training Dataset for Pet Type Employed Age Debt College Degree Pet Yes 26 No Yes Cat Yes 45 Yes No Dog No 22 Yes Yes Dog No 50 No Yes Cat Yes 24 No Yes Cat No 33 Yes Yes Dog Yes 62 No No Cat Yes 39 No Yes Dog No 25 No Yes 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: Training Dataset for Car Type Instance Work Years College Years Car Type 1 4 5.5 Sports 2 5 3 Luxury 3 4 3.5 Family 4 3.5 4.5 Hybrid 5 5 4 Sports 6 1 4 Luxury 7 4 6 Family 8 6 4 Hybrid 9 3 3 Sports 10 4.5 4 Luxury 11 3 2 Family 12 4 2 Hybrid   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?

Figure 6: Dataset for Pet Type Instance Age Home Value ($Millions) Pet 1 20 1.6M Cat 2 25 2.1M Cat 3 30 1.7M Cat 4 40 1.9M Cat 5 40 1.5M Dog 6 50 1.7M Dog 7 55 1.1M Dog 8 60 1.6M Dog   Review the table labeled Figure 6: Dataset for Pet Type. If you train a Support Vector Machine (SVM) on the dataset to predict pet type, the result will include how many support vectors?

Figure 4: Transactions Dataset Transaction ID Items Bought 1 {a, b, d, e} 2 {b, c, d} 3 {a, b, d, e} 4 {a, c, d, e} 5 {b, c, d, e} 6 {b, d, e} 7 {c, d} 8 {a, b, c} 9 {a, d, e} 10 {b, d}   Review the table labeled Figure 4: Transactions Dataset. You are asked to use rule mining on the dataset. What is the confidence for the rule {a} → {c}?

Figure 4: Transactions Dataset Transaction ID Items Bought 1 {a, b, d, e} 2 {b, c, d} 3 {a, b, d, e} 4 {a, c, d, e} 5 {b, c, d, e} 6 {b, d, e} 7 {c, d} 8 {a, b, c} 9 {a, d, e} 10 {b, d}   Review the table labeled Figure 4: Transactions Dataset. You are asked to use rule mining on the dataset. What is the confidence for the rule {d} → {b}?

Which type of deep neural network would work for the task of predicting stock market prices?

Figure 4: Transactions Dataset Transaction ID Items Bought 1 {a, b, d, e} 2 {b, c, d} 3 {a, b, d, e} 4 {a, c, d, e} 5 {b, c, d, e} 6 {b, d, e} 7 {c, d} 8 {a, b, c} 9 {a, d, e} 10 {b, d}   Review the table labeled Figure 4: Transactions Dataset. You are asked to use rule mining on the dataset. What is the support for the rule {d} → {b}?

You want to train a deep neural network for detecting bald eagles in nature pictures. Which type of network is the most suitable for this scenario?