[Solved] Find the bug in this code:from sklearn.metrics import silhouette_score labels = [0, 0, 1, 1] data = [[1, 2], [2, 1], [8, 9]] score = silhouette_score(data, labels) print(score) | SciPy

SciPy - Clustering and Distance

Find the bug in this code:

from sklearn.metrics import silhouette_score
labels = [0, 0, 1, 1]
data = [[1, 2], [2, 1], [8, 9]]
score = silhouette_score(data, labels)
print(score)

AData and labels length mismatch

Bsilhouette_score requires 3 arguments

CLabels must be floats

DImport statement is wrong

Step-by-Step Solution

Solution:

Step 1: Check data and labels length
Data has 3 points, labels has 4 labels; lengths must match.
Step 2: Confirm function argument requirements
silhouette_score requires data and labels of same length.
Final Answer:
Data and labels length mismatch -> Option A
Quick Check:
Length mismatch error = A [OK]

Quick Trick: Data and labels must have same length [OK]

Common Mistakes:

Ignoring length mismatch
Thinking labels must be floats
Incorrect import assumption

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Find the bug in this code:

Step 1: Check data and labels length

Step 2: Confirm function argument requirements

Final Answer:

Quick Check:

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