AI & MACHINE LEARNING PROGRAM • LEVEL 15 — ANOMALY DETECTION
Flag Scores above a Threshold with Python
Learn flag scores above a threshold with python with a short, executable Python example.
PROBLEM UNDERSTANDING
Input and expected output
No input required
[2]
COMPLETE PYTHON PROGRAM
Complete Python implementation
scores = [0.1,0.2,0.85,0.3] print([index for index,score in enumerate(scores) if score>0.7])
CURRENT STEP
Select Start to walk through the important lines.
SELECTED LINE
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EXPECTED OUTPUT FOR THE SAMPLE
[2]
PROGRAM EXPLANATION
Algorithm and explanation
- Initialize the sample values used to flag scores above a threshold.
- Process the data step by step using Anomaly score and Threshold.
- Display the result for flag scores above a threshold and compare it with the documented sample output.
This example of flag scores above a threshold processes the sample values in a controlled iteration. It demonstrates Anomaly score and Threshold 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 flag scores above a threshold, keep the data shape and value types consistent with Anomaly score.
Keep every dependent statement inside the correct indented Python block.
Check denominators, numeric ranges and rounding before comparing the calculated value.