5. How to solve problems with ML models

What is the process of fixing incorrect, incomplete, duplicate, or otherwise erroneous data in a dataset called?

• Data cleaning

• Training

• Testing

• Labeling

Which term describes a category that data can be assigned to?

• Class

• Accuracy

• Confidence score

• Data cleaning

What is the term for providing data to a model to enable it to learn?

• Training

• Testing

• Data cleaning

• Labeling

How is the closeness of a model to achieving the correct answer described?

• Accuracy

• Confidence score

• Class

• Data cleaning

What is the minimum score that the model will consider the prediction to be a true prediction?

• Confidence threshold

• Accuracy

• Class

• Data cleaning

What is the main goal of the machine learning model mentioned in the document?

• To predict the weather

• To identify fake news

• To translate languages

• To improve education systems

Which stage is described in the document for identifying fake news?

• Stage 1: Defining the problem

• Stage 2: Data collection

• Stage 3: Model training

• Stage 4: Evaluation

What are the 17 icons displayed in the image?

• The UK Development Goals

• The UN Sustainable Development Goals

• The EU Sustainable Development Goals

• The US Development Goals

What is the purpose of using a machine learning classification model in problem-solving?

• To apply a rule-based approach

• To use a data-driven approach

• To avoid using any data

• To simplify manual calculations

What is the first step in preparing data for a machine learning model?

• Ignoring irrelevant data

• Collecting and cleaning the data

• Visualizing the data

• Training the model