Predictive Models MCQs (25)
1) Predictive modeling is mainly used to?
A. Describe past data only
B. Predict future outcomes
C. Store data
D. Design charts
2) Predictive models belong to which analytics type?
A. Descriptive
B. Diagnostic
C. Predictive
D. Prescriptive
3) Target variable is also called?
A. Feature
B. Label / Dependent variable
C. Index
D. Attribute ID
4) Input variables are called?
A. Targets
B. Features / Independent variables
C. Outputs
D. Predictions
5) Regression models are used when output is?
A. Categorical
B. Continuous numeric
C. Text only
D. Images
6) Classification models predict?
A. Continuous values
B. Categories or classes
C. File size
D. Random numbers
7) Which is a regression algorithm?
A. Linear Regression
B. K-Means
C. Apriori
D. PCA
8) Which is a classification algorithm?
A. Linear Regression
B. Logistic Regression
C. Moving Average
D. Mean
9) Decision Tree can be used for?
A. Only regression
B. Only classification
C. Both regression and classification
D. Data cleaning
10) Random Forest is?
A. Single tree model
B. Collection of multiple decision trees
C. Database system
D. Visualization tool
11) Overfitting means?
A. Model performs well on new data
B. Model memorizes training data too much
C. Model too simple
D. Data missing
12) Underfitting means?
A. Model too complex
B. Model fails to learn patterns
C. Model perfect
D. Data duplicated
13) Training data is used to?
A. Test model only
B. Train the model
C. Delete rows
D. Visualize data
14) Test data is used to?
A. Train model
B. Evaluate model performance
C. Clean data
D. Build features
15) Accuracy measures?
A. Correct predictions ratio
B. Training speed
C. Data size
D. Number of rows
16) Confusion Matrix is used in?
A. Regression
B. Classification evaluation
C. Data cleaning
D. SQL queries
17) Precision measures?
A. Correct positive predictions
B. Total negatives
C. Mean value
D. Variance
18) Recall measures?
A. Ability to identify actual positives
B. Total data rows
C. Data variance
D. Feature count
19) RMSE is used for?
A. Classification
B. Regression error measurement
C. Data cleaning
D. Clustering
20) MAE stands for?
A. Mean Absolute Error
B. Model Accuracy Evaluation
C. Maximum Absolute Error
D. Mean Average Estimate
21) Cross-validation is used to?
A. Improve model reliability
B. Delete data
C. Increase rows
D. Change file format
22) Feature scaling helps in?
A. Making features comparable
B. Removing labels
C. Adding duplicates
D. Data storage
23) Which algorithm is sensitive to feature scaling?
A. KNN
B. Decision Tree
C. Random Forest
D. Countplot
24) Predictive models are widely used in?
A. Sales forecasting
B. Weather prediction
C. Risk analysis
D. All of the above
25) Goal of predictive modeling is to?
A. Make data-driven future predictions
B. Delete data
C. Create dashboards only
D. Replace databases
Answer Key
1) B
2) C
3) B
4) B
5) B
6) B
7) A
8) B
9) C
10) B
11) B
12) B
13) B
14) B
15) A
16) B
17) A
18) A
19) B
20) A
21) A
22) A
23) A
24) D
25) A