We are using Social Network Ads data to predict consumers’ purchase behavior. The first five rows of this table are shown below. We use the following KNN code to do this classification task and report the F1 score, but Colab reports that we have four errors in our code. Please list the four errors below. Assume we have imported all necessary packages and read the data successfully.  Error 1: [a] Error 2: [b] Error 3: [c] Error 4: [d]

Below is a very simple dataset containing information about the age and income of 10 customers. The goal is to predict new customers’ categories based on their age and income. Use the 2-nearest-neighbor numeric prediction approach on this dataset and Manhattan distance as the distance metric, and write down the two nearest neighbors for new customer A and customer B (separate two neighbors for each customer by comma). Customer A: 27-year-old, with income of 65 thousand: [a] Customer B: 55-year-old, with income of 90 thousand: [b]

A sample of wood with a mass of 3.0 grams was burned in an open dish. The ashes weighed 1.2 grams. What happened to the rest of the wood?

A client taking atorvastatin comes to the clinic with complaints of acute muscle pain not associated with exercise or injury. The nurse understands the client is experiencing symptoms of toxicity and asks if the client has been consuming which?

The nurse administered hydrochlorothiazide to a client with congestive heart failure. Which of the following assessment findings indicates successful diuretic therapy?

A nurse is caring for a client who asks why the provider prescribed a daily aspirin. Which of the following responses should the nurse make?

The nurse is caring for a female patient who is nursing her 3-month-old infant. What will the nurse instruct the patient to do prior to starting heparin to treat venous thrombosis?

A clinic client has been prescribed phenazopyridine (Azo Standard) for aid in treating a UTI. This client should be educated that phenazopyridine (Azo Standard) will turn urine which color?

Roctavian, like many other gene therapies and oncology products, received market authorization from the FDA based primarily on single-arm trial data. In your view, what is the main problem with relying on single-arm trial data to assess the efficacy of a new treatment? To assess the comparative effectiveness of a new drug when only single-arm trial data is available, a common approach is to combine the single-arm trial data with a so-called external/historical control group. Describe why adding data from an external and/or historical control group may be relevant and what are the advantages and disadvantages with this approach? Your response should be 250 to 500 words (½ to 1 page).

The university health services nurse is preparing a disease prevention program for college students. Which of the following information should the nurse include in the program?