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Input Processing Output
2 hr, 80%,
B Badminton AI A
Model
3 hr, 90%, A+
A None
• The independent variable is the cause. Its value is independent of other variables in your study.
• The dependent variable is the effect. Its value depends on changes in the independent variable.
Data Preprocessing
Data preprocessing is an essential phase in the machine learning process that prepares datasets for effective
machine learning applications. It is the process of detecting and correcting (or removing) corrupt or inaccurate
records from a dataset. It includes multiple processes to clean, transform, reduce, integrate, and normalise data.
Data
Data Data Feature
Data Cleaning Integration &
Transformation Reduction Selection
Normalisation
Data Processing and Data Interpretation
Data processing means preparing and analysing raw information to train models or
predict outcomes, including tasks like cleaning and training. Data interpretation in
AI involves analysing model outputs to understand patterns, refine models, and make
informed decisions.
Observe and answer the following:
● How many big lollipops are there in the given picture?
● If each large lollipop represents 5 units of sweetness, how much total sweetness do
the three lollipops represent?
● Among the small round candies, which colour appears most frequently?
● What is the ratio of pink round candies to blue round candies?
● How many pink round candies are there in the image?
Data Processing Relates to Operation on data to produce
meaningful information.
Relates to Analysing data to arrive at meaningful
Data Interpretation
decisions.
168 Artificial Intelligence Play (Ver 1.0)-IX

