wayground logo

Free Printable Worksheets

Font size

S
M
L
XL
Worksheets

Python Prowess

Total questions: 8

Worksheet time: 3mins

Name
Class
Date
1.

Which of the following statistical measures provides information about the central tendency of a dataset?

a)

Median

b)

Variance

c)

Interquartile range

d)

Standard deviation

2.

Which of the following visualization techniques is commonly used to explore the relationship between two continuous variables?

a)

Box plot

b)

bar chart

c)

Histogram

d)

Scatter plot

3.

What does the term "outlier" typically refer to in data exploration?

a)

The average value of a dataset.

b)

The standard deviation of a dataset.

c)

A data point that lies within the main cluster of the dataset.

d)

A data point that is significantly different from other observations in the dataset.

4.

Which of the following best describes a decision tree?

a)

A linear model used for regression analysis.

b)

A clustering algorithm for grouping similar data points.

c)

A graphical representation of decision-making based on probabilities.

d)

A hierarchical structure composed of nodes and branches, representing decisions and outcomes.

5.

What distinguishes Random Forest from a single Decision Tree?

a)

Random Forest applies a different splitting criterion.

b)

Random Forest uses a gradient boosting technique.

c)

Random Forest requires fewer computational resources.

d)

Random Forest combines the predictions of multiple decision trees.

6.

___________  is the process of transforming raw data into features that are suitable for machine learning algorithms.

a)

Transfer

b)

Feature design

c)

Transfer design

d)

Feature engineering

7.

What is the reason for overfitting or underfitting?

a)

Loss is high

b)

Accuracy is low

c)

Training data is not cleaned

d)

Model capacity is too small or too big

8.

A good fit (optimization) for a model can be defined as  __________

a)

line or curve overfit the data

b)

line or curve underfit the data

c)

line or curve that best fit the data

d)

using a random mathematical function to represent the model