Produce the classification matrix for the sample as it stands.
A large number of insurance records are to be examined to
develop a model for predicting fraudulent
claims. Of the claims in the historical database, 1% were judged to be fraudulent.
A sample database is taken to develop a model, and oversampling is used to provide a balanced sample in light of the very low response rate. When applied to this sample database (total number of records, N =800), the model ends up correctly classifying 310 frauds, and 270 non-frauds. It misses 90 frauds, and classified 130 records incorrectly as frauds when they were not.
Questions:
a. Produce the classification matrix for the sample as it stands.
b. Find the adjusted misclassification rate (adjusting for the oversampling).
c. What percentage of new records would you expected to be classified as fraudulent
"Do you need a similar assignment done for you from scratch? We have qualified writers to help you with a guaranteed plagiarism-free A+ quality paper. Discount Code: SUPER50!"
Produce the classification matrix for the sample as it stands.
A large number of insurance records are to be examined to
develop a model for predicting fraudulent
claims. Of the claims in the historical database, 1% were judged to be fraudulent.
A sample database is taken to develop a model, and oversampling is used to provide a balanced sample in light of the very low response rate. When applied to this sample database (total number of records, N =800), the model ends up correctly classifying 310 frauds, and 270 non-frauds. It misses 90 frauds, and classified 130 records incorrectly as frauds when they were not.
Questions:
a. Produce the classification matrix for the sample as it stands.
b. Find the adjusted misclassification rate (adjusting for the oversampling).
c. What percentage of new records would you expected to be classified as fraudulent
"Do you need a similar assignment done for you from scratch? We have qualified writers to help you with a guaranteed plagiarism-free A+ quality paper. Discount Code: SUPER50!"
Produce the classification matrix for the sample as it stands.
A large number of insurance records are to be examined to
develop a model for predicting fraudulent
claims. Of the claims in the historical database, 1% were judged to be fraudulent.
A sample database is taken to develop a model, and oversampling is used to provide a balanced sample in light of the very low response rate. When applied to this sample database (total number of records, N =800), the model ends up correctly classifying 310 frauds, and 270 non-frauds. It misses 90 frauds, and classified 130 records incorrectly as frauds when they were not.
Questions:
a. Produce the classification matrix for the sample as it stands.
b. Find the adjusted misclassification rate (adjusting for the oversampling).
c. What percentage of new records would you expected to be classified as fraudulent
"Do you need a similar assignment done for you from scratch? We have qualified writers to help you with a guaranteed plagiarism-free A+ quality paper. Discount Code: SUPER50!"
Produce the classification matrix for the sample as it stands.
A large number of insurance records are to be examined to
develop a model for predicting fraudulent
claims. Of the claims in the historical database, 1% were judged to be fraudulent.
A sample database is taken to develop a model, and oversampling is used to provide a balanced sample in light of the very low response rate. When applied to this sample database (total number of records, N =800), the model ends up correctly classifying 310 frauds, and 270 non-frauds. It misses 90 frauds, and classified 130 records incorrectly as frauds when they were not.
Questions:
a. Produce the classification matrix for the sample as it stands.
b. Find the adjusted misclassification rate (adjusting for the oversampling).
c. What percentage of new records would you expected to be classified as fraudulent
"Do you need a similar assignment done for you from scratch? We have qualified writers to help you with a guaranteed plagiarism-free A+ quality paper. Discount Code: SUPER50!"
Other samples, services and questions:
When you use PaperHelp, you save one valuable — TIME
You can spend it for more important things than paper writing.
