Question

1. In practice, the logistic regression is said to predict _____ of the event happening.

2. The decision tree model does the following, EXCEPT.

a. Classify observations into group.

b. Predict the outcome of each group.

c. Handle missing values, so there is no need to impute new values.

d. Determine variables that will be used to split the observations into group.

e. Prepare text data for analytics by eliminating common ending words.

3. The decision tree model works if: (select all that applies)

a. The target variable is categorical

b. The target variable is continuous

c. Some variables in the data set have missing values.

d. The relationship between the predictor variable and the target variable is linear.

e. The relationship between the predictor variable and the target variable is non-linear.

4. The logistic regression model works if: (select all that applies)

a. The target variable is categorical

b. The target variable is continuous

c. Some variables in the data set have missing values.

d. The relationship between the predictor variable and the target variable is linear.

e. The relationship between the predictor variable and the target variable is non-linear.

Answer 1

1. In practice, the logistic regression is said to predict the probablity of the event happening.

2.

2. The decision tree model does the following, EXCEPT.

a. Classify observations into group.

b. Predict the outcome of each group.

c. Handle missing values, so there is no need to impute new values.

d. Determine variables that will be used to split the observations into group.

e. Prepare text data for analytics by eliminating common ending words.

answer is Optionc

The decision tree model does the following, EXCEPT Handle missing values, so there is no need to impute new values.

3.The decision tree model works if: all are applied

a.The target variable is categorical

b. The target variable is continuous

c. Some variables in the data set have missing values.

d. The relationship between the predictor variable and the target variable is linear.

e. The relationship between the predictor variable and the target variable is non-linear.

explaination:

Decision tree is a type of supervised learning algorithm (which have pre-defined target variable) that is mostly used in classification problems. It works for both categorical and continuous input and output variables.

4. The logistic regression model works if:

option a is the answer

if the target variable (dependent variable) is categorical only .

we cannot apply logistic regression for continous variable.