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Decision Trees Mastery Quiz

A visually appealing illustration of a decision tree structure with colorful branches and leaves, symbolizing machine learning and data analysis.

Decision Trees Mastery Quiz

Test your knowledge of Decision Trees with this engaging quiz! Whether you're a beginner or an expert in Machine Learning, this quiz covers important concepts and practical applications of Decision Tree algorithms.

11 carefully crafted questions
Multiple choice and checkbox formats
Evaluate your understanding of key concepts

11 Questions3 MinutesCreated by AnalyzingTree127

Which one is not a Decision Tree Algorithm ?

ID3

CART

C4.5

No one

The Decision Trees are used just for Regression Problems ?

True

False

The Decision Trees are used for Classification Problems ?

True

False

What we called the first Node in a Decision Tree ?

Decision Node

Root Node

Leaf Node

Terminal Node

Branch

What we Called the Last Node or the Final Result in a Decision Tree ( Choose the right one(s) ) ?

Root Node

Decision Node

Terminal Node

Leaf Node

Suppose we want to split a data into training and testing,and we want the test size to be 30%, which of the following sentences is the right ( Choose the right one(s) ) :

Test_size=0.3

Train_size=0.3

Test_size=0.7

Train_size=0.7

What it's the depth of this tree ?

The number of leafs (Terminal Nodes) ?

Can you arrange the process of Machine Learning ?

Importing the Libraries

Getting the Data

Making Data Preprocessing and EDA

Splitting the Data

Importing the model

Feeding the model with training data

Making Predicitons

Evaluate your Model with the accuracy, confusion metrics etc..

Optimize your model or choose another one !!!

Which function we use to predict the Target values ?

Fit()

Get_depth()

Predict()

Score()

How was the Coffee Break ( out of 10 ) ?

1000/10 !!!

10000/10 !!!

11/10 !!!

20/10 !!!

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