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Task #Experiential Learning
An image has a resolution of 3264x2448 pixels. Calculate the number of megapixels in this image.
What is Evaluation?
Model evaluation is the stage of testing the model where testing data is given to the system and the output
generated is evaluated with the actual result to see the accuracy of the output and the reliability of the AI model.
There can be different evaluation techniques, depending on the type and purpose of the model.
Reboot
1. Explain the term problem scoping in AI project Cycle.
2. Differentiate between data exploration and data acquisition.
Importance of Evaluation
Evaluation is a process that critically examines a program. It involves collecting and analysing information about
a program’s activities, characteristics, and outcomes. Its purpose is to make judgements about a program, to
improve its effectiveness, and/or to inform programming decisions. Following are some of the advantages of
evaluating an AI model:
• Evaluation ensures that the model is operating correctly and optimally.
• Evaluation is an initiative to understand how well it achieves its goals.
• Evaluations help to determine what works well and what could be improved in a program.
Model Evaluation Terminologies
Evaluation of an AI model can be done using various terminologies. Let us try to understand them with the help
of a scenario.
Scenario: An AI-based prediction model is deployed in schools. The model is supposed to predict whether the
students of grade 10 will be able to get a “Perfect Score“ in the board exams this coming year or not. The model
will check for whether the students will be able to score full marks in board exams in the coming year or not.
212 Touchpad Artificial Intelligence (Ver. 3.0)-IX

