Question

During Data Acquisition feeding previous data into the machine is called:

Training Data
Predicting Data
Testing Data
Evaluating Data

Answer 1

Answer:

Number : c

Explanation:

Testing data because the data which is given to the computer that use to be tested by the computer

Answer 2

Training Data

During Data Acquisition feeding previous data into the machine is called Training Data.

• The data used to train an algorithm or machine learning model to anticipate the outcome that your model was designed to predict is known as training data. Your data will be enhanced with data labelling or annotation if you are employing supervised learning or some hybrid that incorporates that method.
• A very sizable dataset called training data is utilised to instruct a machine learning model. Prediction models that employ machine learning algorithms are taught how to extract attributes that are pertinent to particular business objectives using training data. The training data for supervised ML models is labelled.
• Testing or validation data are used to assess the accuracy of your model, whereas training data is the first dataset you use to teach a machine learning programme to recognise patterns or perform to your criteria. The model "knows" the training data, thus you'll need a new dataset to validate it.
• Structured, unstructured, and semi-structured training data types are briefly described. supervised, unsupervised, and semi-supervised machine learning are the three main types that use training data.

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