What is the term known as on which the machine learning algorithms build a model based on sample data?Training dataNone of the aboveData trainingTransfer data

Break Down the Problem

1. Identify the correct term related to machine learning models.
2. Evaluate the provided options.

Relevant Concepts

• The process of developing machine learning algorithms involves using sample data to build models, which is commonly referred to as "training data."

Analysis and Detail

1. Training Data: This is the dataset used to train machine learning models. It consists of input-output pairs that the algorithm learns from to make predictions or classifications.
2. None of the Above: This option implies that none of the listed terms are correct, which is not the case.
3. Data Training: While this phrase may seem relevant, it is not the standard terminology; the correct term is "training data."
4. Transfer Data: This term refers to data used in the context of transfer learning, which is distinct from the initial training dataset.

Verify and Summarize

After evaluating the options, the correct term that reflects the data used to build machine learning models is "Training Data."

Final Answer

Training data is the term known as on which the machine learning algorithms build a model based on sample data.