AI & MACHINE LEARNING PROGRAM • LEVEL 01 — AI & ML FOUNDATIONS
Create a Train-test Split with Python
Learn create a train-test split with python with a short, executable Python example.
PROBLEM UNDERSTANDING
Input and expected output
No input required
[0, 1, 2, 3, 4, 5, 6, 7] [8, 9]
COMPLETE PYTHON PROGRAM
Complete Python implementation
data = list(range(10)) split = int(len(data) * 0.8) print(data[:split], data[split:])
CURRENT STEP
Select Start to walk through the important lines.
SELECTED LINE
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EXPECTED OUTPUT FOR THE SAMPLE
[0, 1, 2, 3, 4, 5, 6, 7] [8, 9]
PROGRAM EXPLANATION
Algorithm and explanation
- Initialize the sample values used to create a train-test split.
- Apply Training data and Testing data to compute the required result.
- Display the result for create a train-test split and compare it with the documented sample output.
This example of create a train-test split computes the result directly from the prepared sample data. It demonstrates Training data and Testing data and prints a deterministic result that can be checked against the sample output.
EFFICIENCY
Time and space complexity
O(n)
O(n)
DEBUGGING CHECKLIST
Common mistakes
For create a train-test split, keep the data shape and value types consistent with Training data.
Apply Training data in the same order shown by the algorithm; changing the order can change the result.
Verify the final Training data and Testing data result against the sample before trying new data.