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User ae2d56f5434c80dd03759e8e086d6577 Responses to survey 180

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User ID: ae2d56f5434c80dd03759e8e086d6577

Survey ID: 180

Ideal budget: [30, 20, 30, 20]
⏱️ Response Time: 97s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 50%
l2 (Rank) 50%
Pairs List
Pair #1
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
✓ [20, 10, 60, 10] cosine_similarity: {best: 0.85, worst: 0.82}
[10, 40, 20, 30] l2: {best: -31.62, worst: -34.64}
Pair #2
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, 20, 10] cosine_similarity: {best: 0.85, worst: 0.82}
[10, 40, 20, 30] l2: {best: -31.62, worst: -34.64}
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
✓ [20, 10, 60, 10] cosine_similarity: {best: 0.85, worst: 0.82}
[10, 30, 20, 40] l2: {best: -31.62, worst: -34.64}
Pair #4
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, 20, 10] cosine_similarity: {best: 0.85, worst: 0.82}
[10, 30, 20, 40] l2: {best: -31.62, worst: -34.64}
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
[20, 10, 60, 10] cosine_similarity: {best: 0.85, worst: 0.82}
✓ [20, 30, 10, 40] l2: {best: -31.62, worst: -34.64}
Pair #6
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
[20, 10, 60, 10] cosine_similarity: {best: 0.85, worst: 0.82}
✓ [20, 40, 10, 30] l2: {best: -31.62, worst: -34.64}
Pair #7
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, 20, 10] cosine_similarity: {best: 0.85, worst: 0.82}
✓ [20, 40, 10, 30] l2: {best: -31.62, worst: -34.64}
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
[60, 10, 20, 10] cosine_similarity: {best: 0.85, worst: 0.82}
✓ [20, 30, 10, 40] l2: {best: -31.62, worst: -34.64}
Pair #9
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
✓ [55, 10, 25, 10] cosine_similarity: {best: 0.88, worst: 0.88}
[45, 15, 10, 30] l2: {best: -27.39, worst: -29.15}
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
[55, 10, 25, 10] cosine_similarity: {best: 0.88, worst: 0.88}
✓ [45, 30, 10, 15] l2: {best: -27.39, worst: -29.15}