It is estimated that a customer who leaves costs the firm $2000 in lost profits. Retention program costs are $300. Assuming that everyone predicted to leave can be persuaded to stay, the cost matrix is as depicted below. Predicted Churn = Yes Churn = No Actual Yes No Yes 293 165 Actual If your goal is to minimize the misclassification costs, would you use the full model or the simpler model? Explain why. (Use the test data for scoring and include your calculations to justify the decision). The confusion matrices are reproduced below. Predicted No 266 1386 Churn = Yes Full Model Churn = No 0 Actual $300 $2000 Yes No 0 Yes 220 145 Predicted No 339 1406 Reduced Model

It is estimated that a customer who leaves costs the firm $2000 in lost profits. Retention program costs are $300. Assuming that everyone predicted to leave can be persuaded to stay, the cost matrix is as depicted below. Predicted Churn = Yes Churn = No Actual Yes No Yes 293 165 Actual If your goal is to minimize the misclassification costs, would you use the full model or the simpler model? Explain why. (Use the test data for scoring and include your calculations to justify the decision). The confusion matrices are reproduced below. Predicted No 266 1386 Churn = Yes Full Model Churn = No 0 Actual $300 $2000 Yes No 0 Yes 220 145 Predicted No 339 1406 Reduced Model

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question # 2: Consider the following data Classification Model where YACT is your actual observation and YPRED is the model prediction value. You have to use the data and find CONFUSION MATRIX, and using confusion matrix compute the value of the following errors: Precision value of each class Recall value of each class F-measure value of each class Model Accuracy Model Precision value Model Recall value Model F-measure value YACT R G B B R G R R G G B B R R G B R B G R B G B R R B B G G G YPRED R R R B B B R R G B B R R G G G B B R R B G B R B G B G R R
Draw logistic regression flow chart First design the question (choose x1 and x2 values for each class (blue and red) or initialize weight and bias),then find proper weight and bias values of green line that can be seen in Figure 1. This line should separate two classes.
Write the objective function that can be used to determine the regression model parameters. How is this objective function will be used to find model parameters?
What is the best way to decide how many epochs of training to perform? It is always obvious looking at the decision boundary when the model begins to overfit. None of the others. As soon as the value of the Testing dataset performance begins to decrease. As soon as the value of the Tuning dataset performance begins to decrease. As soon as the value of the Training dataset performance (accuracy, F1.) begins to decrease. As soon as the value of the Testing dataset loss begins to increase. As soon as the value of the Tuning dataset loss begins to increase. As soon as the value of the Training dataset loss begins to increase.
How can you tell if a model meets the requirements for proportionality and additivity?
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Model evaluation Create a predictions variable using your fitted model and the test dataset; call it y_pred. Then get the accuracy score of your predictions and save it in a variable called accuracy. Finally get the confusion matrix for your predictions and save it in a variable called confusion_mat. Code: y_pred = Noneaccuracy = Noneconfusion_mat = None
How can you recognize whether a model satisfies proportionality andadditivity?
Consider the following Scenario the Modeling of which you have completed in Assignment1: The Ministry of XYZ is the government body in the in charge of religious affairs. The application for Hajj is submitted to the hajj directorate, part of XYZ Ministry. Initial documents are submitted to the hajj directorate for registration. Documents are checked and verified by the Assistant Registration Officer. There are two categories of applicants based on their nationality. Specified percentage of seats are fixed for locals and other nationals. A unique registration number is issued to each applicant by the Assistant Registration Officer. After the completion of registration process, each applicant is asked to submit the detailed documentation which includes passport, vaccination certificate, medical certificate, receipts of payments. One Additional document (permission letter from home country) is needed for other national. Payments can be made through cash or card. Assistant Registration…
You are interested in looking at how competition affects gas prices, where you think that if a gas station has more competitors nearby, it will tend to have lower prices. To test this, you decide to use a natural experiment in which a chain of gas stations ("Thrifty") suddenly closed. This closure occurred between June and October of 2012, and meant that gas stations that were previous close to a Thrifty station experienced less competition than before. On the other hand, those stations that were not close to a Thrifty station did not experience any change in competition. You decide to use a differences in differences design, in which gas stations located near a Thrifty station at the start of 2012 are the treatment group and those that were not located near a Thrifty at the start of 2012 are the control group. You look at how prices change before and after the exit of Thrifty. This is plotted in the below graph, where the solid line represents the average price of stations that were…