Intermediate Data Science: Models and Metrics Test

This quiz probes medium-level knowledge in data science through practical scenarios on modeling, analysis, and tools.

#machine learning#data science#supervised learning#evaluation metrics#data preprocessing#ensemble methods#statistical modeling#model validation#feature selection#python libraries

Quiz Intelligence

Total Questions

10

Difficulty Level

medium

Progress

0/0

0%

Quiz Questions

Answer all questions below and test your knowledge.

1
In machine learning, what primarily causes the bias-variance tradeoff?
Question 1
2
Which technique is used to prevent data leakage in model training?
Question 2
3
What does the F1-score measure in classification tasks?
Question 3
4
In pandas, which method aggregates data by categories?
Question 4
5
What is the main advantage of Random Forest over single decision trees?
Question 5
6
Which metric is insensitive to outliers in regression evaluation?
Question 6
7
Principal Component Analysis (PCA) primarily reduces data by:
Question 7
8
In gradient descent, what does the learning rate control?
Question 8
9
For imbalanced datasets, which sampling technique oversamples minority class?
Question 9
10
What is k-fold cross-validation's typical value for k in medium datasets?
Question 10