Page 120 - Ai_C10_Flipbook
P. 120
What do you mean by Features?
Each column in the table represents a feature. In the table below, each dataset category is a feature, for example,
Sedan, Silver, 12 Lac.
Features
Car Type Colour Price
Sedan Silver 12 Lac
MUV Black 17 Lac
SUV Red 30 Lac
What are Labels?
The process of assigning a meaningful name to a category of data (features) is known as data labelling. It can easily
be identified as column heading. These labels help to clarify what the data represents. For example, 'Car Type'
indicates the category to which a car belongs, such as Sedan, MUV, or SUV.
Labels
Car Type Colour Price
Sedan Silver 12 Lac
MUV Black 17 Lac
SUV Red 30 Lac
Labelled Data
Marked or tagged data, which easily identifiable is called labelled data. For example, name, type, colour, etc.
Unlabelled Data
Data that is not marked/tagged is called unlabelled data. It is also known as the raw form of data.
Labelled Data Unlabelled Data
Apple Orange Banana
What do you mean by a Training Dataset?
A collection of data provided to a machine learning model to help it analyse and learn patterns is called training
data. Just like how a teacher explains any concept to students through examples and illustrations, helping them
understand and solve similar problems. Similarly, a set of labelled data (features and their corresponding labels) is
used to train the AI model, teaching it how to make accurate predictions or decisions.
What do you mean by a Testing Dataset?
The testing data set is a collection of data provided to a machine learning model to evaluate how well it has
learned to make predictions. Just like how a teacher gives a test to students after teaching a concept to assess their
understanding and identify any gaps. Similarly, a set of labelled data that the model has not seen before is used to
test its performance, ensuring it can make accurate predictions or decisions on new, unseen data.
118 Artificial Intelligence Play (Ver 1.0)-X

