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User 9337a0a9342560e301bc5b17386156be Responses to survey 180

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User ID: 9337a0a9342560e301bc5b17386156be

Survey ID: 180

Ideal budget: [10, 40, 40, 10]
⏱️ Response Time: 87s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 30%
l2 (Rank) 70%
Pairs List
Pair #1
Original choice: Option 2
Pair Score: 0.09
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, 10, 70, 10] cosine_similarity: {best: 0.81, worst: 0.77}
✓ [20, 15, 30, 35] l2: {best: -38.08, worst: -42.43}
Pair #2
Original choice: Option 2
Pair Score: 0.09
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, 10, 70, 10] cosine_similarity: {best: 0.81, worst: 0.77}
✓ [20, 30, 15, 35] l2: {best: -38.08, worst: -42.43}
Pair #3
Original choice: Option 2
Pair Score: 0.09
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, 70, 10, 10] cosine_similarity: {best: 0.81, worst: 0.77}
[20, 30, 15, 35] l2: {best: -38.08, worst: -42.43}
Pair #4
Original choice: Option 1
Pair Score: 0.09
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, 70, 10, 10] cosine_similarity: {best: 0.81, worst: 0.77}
[20, 15, 30, 35] l2: {best: -38.08, worst: -42.43}
Pair #5
Original choice: Option 1
Pair Score: 0.09
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, 70, 10, 10] cosine_similarity: {best: 0.81, worst: 0.77}
[35, 15, 30, 20] l2: {best: -38.08, worst: -42.43}
Pair #6
Original choice: Option 2
Pair Score: 0.09
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, 70, 10, 10] cosine_similarity: {best: 0.81, worst: 0.77}
✓ [35, 30, 15, 20] l2: {best: -38.08, worst: -42.43}
Pair #7
Original choice: Option 2
Pair Score: 0.09
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, 10, 70, 10] cosine_similarity: {best: 0.81, worst: 0.77}
✓ [35, 30, 15, 20] l2: {best: -38.08, worst: -42.43}
Pair #8
Original choice: Option 2
Pair Score: 0.09
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, 10, 70, 10] cosine_similarity: {best: 0.81, worst: 0.77}
✓ [35, 15, 30, 20] l2: {best: -38.08, worst: -42.43}
Pair #9
Original choice: Option 2
Pair Score: 0.09
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, 10, 65, 15] cosine_similarity: {best: 0.82, worst: 0.78}
✓ [25, 30, 15, 30] l2: {best: -36.74, worst: -39.37}
Pair #10
Original choice: Option 2
Pair Score: 0.09
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, 10, 65, 15] cosine_similarity: {best: 0.82, worst: 0.78}
✓ [25, 15, 30, 30] l2: {best: -36.74, worst: -39.37}