Author: Anonymous

In a confusion matrix for a customer churn model, what does FP (False Positive) represent?

Consider the following test data with the actual house price and the predicted house price from the model: HOUSE PREDICTED PRICE ACTUAL PRICE 1 620000 640000 2 955000 875000 3 675000 725000 4 635000 675000 What is the Mean Error (ME) of the model?

A retail company is using a decision tree to predict whether a customer will make a purchase based on the attribute “age”. The model divides customers into groups such as “age 30.” How is the numeric attribute “age” being handled in the decision tree?

IL PASSATO PROSSIMO with AVERE. Complete each sentence with the correct passato prossimo form of the verb in parentheses. Irregular verbs are underlined. 1. Io [ho] [mangiato] (mangiare) un piatto di spaghetti. 2. I nonni ti [hanno] [dato] (dare) il regalo? 3. Tu [hai] [dormito] (dormire) tutto il giorno. 4. Dante Alighieri [ha] [scritto] (scrivere) la Divina Commedia. 5. Quando voi [avete] [visto] (vedere) Matteo? 6. Noi [abbiamo] [studiato] (studiato) tutto il giorno per il test di italiano

Which clinical scenario represents an absolute indication for the use of one-lung ventilation?

Which recommendations are offered by Nagelhout for preoperative pregnancy testing? (Hospital policies may differ)

A patient presents to the OR with an acute “cold leg” (acute limb ischemia) requiring immediate embolectomy. Given the patient’s critical systemic status (often volume depleted, acidotic), what is the most often chosen anesthetic technique for this urgent procedure?

A patient with severe peripheral vascular disease is scheduled for an urgent aortic aneurysm repair. While surgical mortality has decreased, this patient population remains at high risk for perioperative complications. The leading cause of perioperative mortality in vascular surgery patients is:

Given the systemic nature of vascular disease, what percentage of patients undergoing major vascular surgery are estimated to have associated, often asymptomatic, coronary artery disease (CAD)? 

Consider the following subset of data which was used to create a Decision Tree to predict if the person received a Personal Loan at a bank.    Column value definitions: Experience = years of work experience Family = number of members in the family CCAvg = Credit Card average balance in 1000s.  Education = UG for Under Grad, Grad or Prof Mortgage = mortgage balance in 1000s Note that the outcome is Personal.Loan   If a Decision Tree was created from this data as follows:   Answer All Questions: What would be the prediction for the following observation: Age Experience Income Family CCAvg Education Mortgage 41 16 135 2 2.3 UG 210   What Decisions were made to make that prediction?    Identify how was the tree traversed from the Root Node through the Decision Nodes to reach the Leaf used for the prediction?   What is the resulting Leaf Node that would drive this prediction? Please identify by specifying the Predicted Class (Yes or No) and % of observations from the node.