Author: Anonymous

Complete the following statements to be true (WCSU25): a. There are [drop1] O atoms in 2.0 moles of water (H2O) than there are in 0.5 mole of fructose (C6H12O6). b. A chlorine atom has a [drop2] electronegativity than a fluorine atom. c. A supersaturated solution has a [drop3] concentration of dissolved solute than a saturated solution.

Sulfur is an element important in biology. What is the ground state electron configuration of a neutral sulfur atom?  Format your answer with a space between each subshell (e.g. 1s2 2s2) (WCSU25)

Q1: Elaborate on the quoted words  below, taken from chapter 4.  -What do they refer to? (Give context to show your knowledge of the chapter in 2-3 sentences/5 marks).  -What do they reveal to you, the reader, about Noah? (Select and expand on at least one point in 4-5 sentences/5 marks). “It became a tool that served me my whole life.” (87)

Q2: Focus on Noah’s descriptive style and use of figurative language in Chapter 4.  Choose TWO examples of main descriptive use of language that was particularly effective for you. Explain why it affected you and how it made you think or question in 3-4 sentences for EACH (total 6-8 sentences for this question). You may refer to the visual as a reminder, or choose any other that your remember.

Q1: Elaborate on the quoted words  below, taken from chapter 4.  -What do they refer to? (Give context to show your knowledge of the chapter in 2-3 sentences/5 marks).  -What do they reveal to you, the reader, about Noah? (Select and expand on at least one point in 4-5 sentences/5 marks). “Maybe I didn’t look like you, but if I spoke like you, I was you”.(88)

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

Table 3: Training Dataset for Pet Type Table 3. Training dataset for predicting pet type from employment, age, debt, and college degree status. 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 Table 3: 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?

Table 5: Cancer Cell Classification Table 5. Confusion matrix for cancer cell classification results. Predicted ClassCancerNormalActual ClassCancer25045Normal4291875   Review the table labeled Table 5: Cancer Cell Classification. You trained a model for detecting cancer cells in medical images, and the table contains the classification results. If the positive class is cancer cells, what is the accuracy and F1 score of the classification?

Table 9: Dataset for Animal Type Table 9. Dataset for predicting animal type from color, continent, and food. Color Continent Food Type Black Asia Meat Mammal Brown Europe Meat Mammal Black America Vegetables Mammal Green Africa Meat Mammal Black Asia Vegetables Mammal Black Africa Vegetables Bird Brown Europe Vegetables Bird Grey Asia Meat Mammal Brown America Meat Bird Green Asia Meat Mammal   Review the table labeled Table 9: Dataset for Animal Type. You trained a Naive Bayes Classifier on the dataset. If a record contains the values (Black, Africa, Vegetables), what Type would the model predict?

Table 2: Training Dataset for Car Ownership Table 2. Training dataset for predicting car ownership from employment, insurance, and marital status. Instance Employed Insured Marital Status Car Ownership 1 Yes No Single Yes 2 Yes Yes Single No 3 No No Married Yes 4 No Yes Single Yes 5 Yes Yes Married No 6 No No Single No Review the table labeled Table 2: Training Dataset for Car Ownership. Assume we want to use a decision tree to predict if a person owns a car or not. Using entropy as the measure of node impurity, what is the information gain if the split is done on the attribute of being employed?