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User 3b71ab7412fec1248c07bebe5661e082 Responses

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Survey Response Breakdown - Survey 180

User ID Submitted At Duration Ideal budget cosine_similarityl2 View Response
3b71ab741... 3b71ab7412fec1248c07bebe5661e082 21-07-2026 14:42 72s [30, 30, 25, 15] 100%0% View Response

User ID: 3b71ab7412fec1248c07bebe5661e082

Survey ID: 180

Ideal budget: [30, 30, 25, 15]
⏱️ Response Time: 72s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 100%
l2 (Rank) 0%
Pairs List
Pair #1
Original choice: Option 2
Pair Score: 0.07
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [10, 60, 15, 15] cosine_similarity: {best: 0.81, worst: 0.78}
[20, 15, 20, 45] l2: {best: -35.36, worst: -37.42}
Pair #2
Original choice: Option 2
Pair Score: 0.07
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [10, 60, 15, 15] cosine_similarity: {best: 0.81, worst: 0.79}
[25, 15, 15, 45] l2: {best: -35.36, worst: -37.42}
Pair #3
Original choice: Option 1
Pair Score: 0.07
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [10, 60, 15, 15] cosine_similarity: {best: 0.81, worst: 0.78}
[15, 20, 20, 45] l2: {best: -35.36, worst: -37.42}
Pair #4
Original choice: Option 1
Pair Score: 0.07
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [60, 10, 15, 15] cosine_similarity: {best: 0.81, worst: 0.78}
[15, 20, 20, 45] l2: {best: -35.36, worst: -37.42}
Pair #5
Original choice: Option 1
Pair Score: 0.07
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [60, 10, 15, 15] cosine_similarity: {best: 0.81, worst: 0.79}
[15, 25, 15, 45] l2: {best: -35.36, worst: -37.42}
Pair #6
Original choice: Option 2
Pair Score: 0.07
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [60, 10, 15, 15] cosine_similarity: {best: 0.81, worst: 0.78}
[20, 15, 20, 45] l2: {best: -35.36, worst: -37.42}
Pair #7
Original choice: Option 2
Pair Score: 0.07
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [60, 10, 15, 15] cosine_similarity: {best: 0.81, worst: 0.79}
[25, 15, 15, 45] l2: {best: -35.36, worst: -37.42}
Pair #8
Original choice: Option 1
Pair Score: 0.07
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [10, 60, 15, 15] cosine_similarity: {best: 0.81, worst: 0.79}
[15, 25, 15, 45] l2: {best: -35.36, worst: -37.42}
Pair #9
Original choice: Option 1
Pair Score: 0.07
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [15, 65, 10, 10] cosine_similarity: {best: 0.80, worst: 0.77}
[15, 15, 25, 45] l2: {best: -36.74, worst: -41.23}
Pair #10
Original choice: Option 1
Pair Score: 0.07
Score = min(Cosine Similarity advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [65, 15, 10, 10] cosine_similarity: {best: 0.80, worst: 0.77}
[15, 15, 25, 45] l2: {best: -36.74, worst: -41.23}