Classification Models

How does human classification differ from computer classification?

• Humans use features, computers use algorithms

• Humans use senses, computers use data

• Humans make decisions, computers predict categories

• Humans are taught, computers learn

If you were teaching a computer to classify colors, what would you do?

• Describe the colors using features

• Teach it color names

• Show it pictures of different colors

• Ask it to identify colors in a picture

Which of the following is an example of categorical data?

• Weight

• Color

• Height

• Temperature

How is classification defined?

• Making decisions based on data

• Separating data into groups

• Grouping data into categories

• Predicting a category based on other features

What is the effectiveness of using features for classification?

• Highly effective

• Somewhat effective

• Depends on the features

• Not effective

How do computers use classification to solve problems?

• By making decisions based on data

• By separating data into groups

• By analyzing data

• By predicting categories

How many fruits will be graphed on two axes in this lesson?

• 20

• 15

• 25

• 10

How do computers learn to classify data?

• By being taught

• By making decisions based on data

• By using their senses

• By analyzing data

What is the purpose of this lesson?

• To help students learn how to classify data

• To discuss the use of computers in classification tasks

• To simulate a machine learning algorithm

• To teach students about classification models

Do you think computers should be used for classification tasks?

• No, they are not reliable

• Yes, they can process large amounts of data

• No, they lack human intuition

• Yes, they are more accurate