Worksheet Questions Extraction

Which step involves deciding whether to use algorithms like Decision Tree, K-Means, or Neural Networks?

• Model deployment

• Algorithm evaluation

• Data visualization

• Feature scaling

Which algorithm is commonly used for clustering tasks?

• Decision Tree

• K-Means

• Linear Regression

• Logistic Regression

Neural networks are most commonly used for:

• Simple arithmetic operations

• Complex pattern recognition tasks

• File compression

• Database indexing

Which factor should be considered when choosing an AI algorithm?

• Problem type

• Data size

• Computational resources

• All of the above

What is the first step in training a machine learning model?

• Model deployment

• Setting initial parameters

• Data visualization

• Model explanation

Adjusting hyperparameters to improve model performance is called:

• Data cleaning

• Model tuning

• Model compression

• Feature scaling

Which metric is commonly used to evaluate classification models?

• Accuracy

• Latency

• Memory usage

• Compression ratio

Repeating training and evaluation until performance improves is known as:

• Iteration

• Normalization

• Tokenization

• Encryption

Overengineering in AI models refers to:

• Building a model too simple

• Building a model unnecessarily complex

• Using small datasets

• Using fewer parameters

Which factor is NOT typically considered when selecting the final model?

• Cost

• Speed

• Model explainability

• Font size of reports