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User b3b644ea4c04925489e81cf3faf59674 Responses to survey 180

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User ID: b3b644ea4c04925489e81cf3faf59674

Survey ID: 180

Ideal budget: [45, 20, 20, 15]
⏱️ Response Time: 198s
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.93, worst: 0.90}
[25, 20, 30, 25] l2: {best: -24.49, worst: -29.15}
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.93, worst: 0.90}
[25, 30, 20, 25] l2: {best: -24.49, worst: -29.15}
Pair #3
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.93, worst: 0.90}
[25, 30, 30, 15] l2: {best: -24.49, worst: -29.15}
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.93, worst: 0.90}
[35, 20, 10, 35] l2: {best: -24.49, worst: -29.15}
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.93, worst: 0.90}
[35, 10, 20, 35] l2: {best: -24.49, worst: -29.15}
Pair #6
Original choice: Option 2
Pair Score: 0.06
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.93, worst: 0.89}
[25, 20, 35, 20] l2: {best: -25.50, worst: -29.15}
Pair #7
Original choice: Option 1
Pair Score: 0.06
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.93, worst: 0.89}
[25, 25, 20, 30] l2: {best: -25.50, worst: -29.15}
Pair #8
Original choice: Option 2
Pair Score: 0.06
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.93, worst: 0.89}
[25, 25, 35, 15] l2: {best: -25.50, worst: -29.15}
Pair #9
Original choice: Option 1
Pair Score: 0.06
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.93, worst: 0.90}
[35, 40, 10, 15] l2: {best: -24.49, worst: -29.15}
Pair #10
Original choice: Option 2
Pair Score: 0.06
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.93, worst: 0.89}
[30, 20, 15, 35] l2: {best: -25.50, worst: -29.15}