(03.02, 03.03, 03.04, 03.05 HC)Public DomainThe Washington Family by Edward Savage, 1796Using the image, respond to parts a, b, and c. Briefly explain how the painting serves as an instrument for creating a distinct American national identity in the late 18th century. Briefly explain ONE historical development during the 1780s or 1790s that helped consolidate the federal power represented by George Washington in the painting. Briefly explain ONE historical argument that critiques the painting’s depiction of the United States as a harmonious and uniformly prosperous society.

(03.02, 03.03, 03.04, 03.05 HC)Public DomainThe Washington Family by Edward Savage, 1796Using the image, respond to parts a, b, and c. Briefly explain how ONE specific feature of the painting illustrates the social hierarchy and the institutional reality of the early United States. Briefly explain ONE historical factor that contributed to the coexistence of liberty and enslavement in the United States during the period 1776 to 1800. Briefly explain ONE way in which the institution of slavery was challenged or altered during the Revolutionary and post-Revolutionary eras (1775–1800).

Solve for u in the equation given below.  Give the answer in decimal form rounded to the thousandths place.      6(4 – [a]u) + [b]u = 20

Table 5: Fraudulent Bank Transactions Confusion matrix for fraudulent bank transaction classification results. Predicted Class Fraudulent Normal Actual Class Fraudulent 360 26 Normal 450 2085 Review Table 5: Fraudulent Bank Transactions. You trained a model for detecting fraudulent bank transactions, and the table contains the classification results. If the positive class is fraudulent transactions, what is the accuracy and F1 score of the classification?

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Table 1: Taxpayer Classification Dataset Taxpayer dataset showing refund status, marital status, taxable income, and cheat classification. Tid Refund Marital Status Taxable Income Cheat 1 Yes Single 125k No 2 No Married 100k No 3 No Single 70k No 4 Yes Married 120k No 5 No Divorced 95k Yes 6 No Married 60k No 7 Yes Divorced 220k No 8 No Single 95k Yes 9 No Married 75k No 10 No Single 90k Yes Review Table 1: Taxpayer Classification Dataset. Which columns can be set as a class label for a data mining task? (Select all that apply.)  

Table 8: Artificial Neural Network Dataset Artificial neural network classification results showing actual and predicted class values by instance. 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 Table 8: 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?

Table 4: Transactions Dataset Transaction dataset showing transaction IDs and itemsets for rule mining. 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 Table 4: Transactions Dataset. You are asked to use rule mining on the dataset. What is the confidence for the rule {d} → {b}?

Table 2: Second Dataset for X and Y Dataset showing point numbers and X and Y values for K-means clustering. Point X Y 1 1 3 2 2 2 3 6 7 4 2.5 3.5 5 4 2 6 3 5 7 1 1 8 2 2 9 5 6 10 4 4 11 5.5 2.5 Review Table 2: Second Dataset for X and Y. You decide to use the K-means algorithm on the dataset: K is set to 3 and, initially, Point 5 is the first centroid, Point 6 is the second centroid, and Point 7 is the third centroid. Using Euclidean distance measure, what are the clusters after the first iteration?

Table 6: Training Dataset for Car Type Training dataset for predicting car type from work years and college years. Instance Work Years College 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 Table 6: 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?