Washington Machine Learning Practitioner
Exam Questions And Correct Answer with
Rational (100% verified answer) Q & A 2026
/Instant download PDF
1. What is supervised learning?
A. Learning without labels
B. Learning with labeled data
C. Reinforcement from environment
D. Clustering data
Answer: B
Supervised learning uses labeled datasets to train models.
2. Which algorithm is used for classification?
A. K-Means
B. Linear Regression
C. Decision Tree
D. PCA
Answer: C
Decision trees can be used for classification tasks.
3. What is overfitting?
A. Model performs well on test data only
B. Model performs well on training but poorly on new data
C. Model ignores training data
D. Model has no errors
,Answer: B
Overfitting happens when the model memorizes training data.
4. What is underfitting?
A. Model is too complex
B. Model performs poorly on training data
C. Model performs well everywhere
D. Model is optimized
Answer: B
Underfitting occurs when the model is too simple.
5. Which metric is used for regression?
A. Accuracy
B. F1 Score
C. Mean Squared Error
D. Confusion Matrix
Answer: C
MSE measures error in regression models.
6. What is clustering?
A. Supervised learning
B. Grouping similar data
C. Predicting labels
D. Reducing error
Answer: B
Clustering groups unlabeled data based on similarity.
7. Which is a clustering algorithm?
, A. Logistic Regression
B. K-Means
C. Linear Regression
D. SVM
Answer: B
K-Means is a popular clustering method.
8. What does a confusion matrix show?
A. Data distribution
B. Model errors
C. Model accuracy breakdown
D. Loss function
Answer: C
It shows TP, FP, TN, FN.
9. What is precision?
A. TP / (TP + FP)
B. TP / (TP + FN)
C. TN / FP
D. FP / TN
Answer: A
Precision measures correctness of positive predictions.
10. What is recall?
A. TP / (TP + FP)
B. TP / (TP + FN)
C. FP / TN
D. TN / TP
Exam Questions And Correct Answer with
Rational (100% verified answer) Q & A 2026
/Instant download PDF
1. What is supervised learning?
A. Learning without labels
B. Learning with labeled data
C. Reinforcement from environment
D. Clustering data
Answer: B
Supervised learning uses labeled datasets to train models.
2. Which algorithm is used for classification?
A. K-Means
B. Linear Regression
C. Decision Tree
D. PCA
Answer: C
Decision trees can be used for classification tasks.
3. What is overfitting?
A. Model performs well on test data only
B. Model performs well on training but poorly on new data
C. Model ignores training data
D. Model has no errors
,Answer: B
Overfitting happens when the model memorizes training data.
4. What is underfitting?
A. Model is too complex
B. Model performs poorly on training data
C. Model performs well everywhere
D. Model is optimized
Answer: B
Underfitting occurs when the model is too simple.
5. Which metric is used for regression?
A. Accuracy
B. F1 Score
C. Mean Squared Error
D. Confusion Matrix
Answer: C
MSE measures error in regression models.
6. What is clustering?
A. Supervised learning
B. Grouping similar data
C. Predicting labels
D. Reducing error
Answer: B
Clustering groups unlabeled data based on similarity.
7. Which is a clustering algorithm?
, A. Logistic Regression
B. K-Means
C. Linear Regression
D. SVM
Answer: B
K-Means is a popular clustering method.
8. What does a confusion matrix show?
A. Data distribution
B. Model errors
C. Model accuracy breakdown
D. Loss function
Answer: C
It shows TP, FP, TN, FN.
9. What is precision?
A. TP / (TP + FP)
B. TP / (TP + FN)
C. TN / FP
D. FP / TN
Answer: A
Precision measures correctness of positive predictions.
10. What is recall?
A. TP / (TP + FP)
B. TP / (TP + FN)
C. FP / TN
D. TN / TP
