Category Classification Model

What is the primary goal of a Category Classification Model?

• Identifying individual objects

• Sorting data into predefined categories

• Generating random data points

• Recognizing faces in images

Which of the following is an example of a Category Classification Model application?

• Predicting stock market prices

• Sorting customer emails to the respective department

• Identifying objects in images

• Converting text to speech

In a Category Classification Model, what is typically the input to the model?

• Predefined categories

• Images and features

• Speech audio

• Geospatial data

What is the output of a Category Classification Model?

• Continuous numerical values

• A probability score for each category

• Binary classifications (yes/no)

• Clusters of data points

Which machine learning technique is commonly used for Category Classification Models?

• Linear regression

• Clustering

• Decision trees

• Reinforcement learning

In text classification, what could be an application of a Category Classification Model?

• Sentiment analysis of customer reviews

• Object detection in images

• Predicting weather patterns

• Calculating numerical values

What is one way to evaluate the performance of a Category Classification Model?

• Counting the number of input features

• Calculating the mean value of the features

• Using metrics like accuracy, precision, and recall

• Checking the model's learning rate

Which of the following statements is true about Category Classification Models?

• They only work with structured data

• They can classify data into predefined categories

• They are exclusively used in robotics

• They always require deep learning techniques.

In a Category Classification Model, how many categories can a data point belong to?

• Only one category

• Multiple categories

• None

• It depends on the model's architecture