AI & MACHINE LEARNING PROGRAM • LEVEL 12 — EVALUATION & TUNING
Calculate Precision and Recall with Python
Learn calculate precision and recall with python with a short, executable Python example.
PROBLEM UNDERSTANDING
Input and expected output
No input required
0.8 0.67
COMPLETE PYTHON PROGRAM
Complete Python implementation
tp, fp, fn = 8, 2, 4 print(round(tp/(tp+fp),2), round(tp/(tp+fn),2))
CURRENT STEP
Select Start to walk through the important lines.
SELECTED LINE
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EXPECTED OUTPUT FOR THE SAMPLE
0.8 0.67
PROGRAM EXPLANATION
Algorithm and explanation
- Initialize the sample values used to calculate precision and recall.
- Apply Precision and Recall to compute the required result.
- Display the result for calculate precision and recall and compare it with the documented sample output.
This example of calculate precision and recall computes the result directly from the prepared sample data. It demonstrates Precision and Recall and prints a deterministic result that can be checked against the sample output.
EFFICIENCY
Time and space complexity
O(1)
O(1)
DEBUGGING CHECKLIST
Common mistakes
For calculate precision and recall, keep the data shape and value types consistent with Precision.
Apply Precision in the same order shown by the algorithm; changing the order can change the result.
Check denominators, numeric ranges and rounding before comparing the calculated value.