Exam 9: Supervised Data Mining: K-Nearest Neighbors and Naãve Bayes

Using the following table of the results of a paper towel study and selection, the XYZ company is making a new product with Durability = 3 and Feel = 4. Using the Euclidean distance, which Type is closest to the new observation?

Which chart allows for the categorization of large data sets from high to low values, dividing sets of observations into an easy visual representation of the data.

The marketing group and Rings Are Us is trying to predict if undergraduate or graduate students are more inclined to purchase (y = 1) or not purchase (y = 0) a class ring at graduation. Using the following count on the training data set, calculate the conditional probability of both to determine which should be classified to the purchase group.

Using the following table of the results of a paper towel study and selection, the XYZ company is making a new product with Durability = 3 and Feel = 4. What is the k-nearest neighbors when k = 2?

The use of classifying or predicting the value to create an outcome is called scoring a record.

Using the following table, what is the estimate of P(Color) = Black and what is the smoothed estimate of P(Color). k = 1.

The marketing group and Rings Are Us is trying to predict if undergraduate or graduate students are more inclined to purchase (y = 1) or not purchase (y = 0) a class ring at graduation. Using the following count on the training data set, calculate the conditional probability of both to determine which should be classified to the purchase group.

Using the following table, which k should be used in the subsequent calculations?

For a new observation of (0, 0, 0), what is the k-nearest neighbor when k = 1.

Using the table below, find the k-nearest neighbor for record 4 using k = 3 for age.

Unlike the KNN method, the naïve Bayes method does not use the validation data set to optimize model complexity.

Specificity is

While k-nearest neighbors is effective as a classifier, it provides no information on predictor importance.

The following table is the count of observations in each class of the training data set on approvals and declines for a loan at a local bank. Using the naïve Bayes method, calculate the conditional probability of both the male and female being approved (declined) for the loan and indicate which one should be categorized with approved classification?

A new applicant, age 45, is applying for a loan. Using the table below, what is the estimated probability the loan will be approved? k = 4.

Using the table below, find the k-nearest neighbor for record 4 using k = 3 for age.

The following table reflects the observations made on the color and type of vehicle, if a speeding ticket was received (1) or a warning (0), and if there was a prior driving violation (yes or no). Using the naïve Bayes calculation, what is the conditional probability of receiving a ticket with a red vehicle.

The following table is the count of observations in each class of the training data set on approvals and declines for a loan at a local bank. Using the naïve Bayes method, calculate the conditional probability of both the male and female being approved (declined) for the loan and indicate which one should be categorized with approved classification?

The chart below is a summary of the main results of a test data set representing the population observed purchasing a virtual digital assistant. What is the percent of the results that are incorrectly classified?

To examine classification for k-fold cross-validation and naïve Bayes, two packages contain the necessary functions for partitioning the data. These are