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User e5195801dbb605cf27a5e916830c4a59 Responses to survey 180

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User ID: e5195801dbb605cf27a5e916830c4a59

Survey ID: 180

Ideal budget: [50, 15, 15, 20]
⏱️ Response Time: 73s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 0%
l2 (Rank) 100%
Pairs List
Pair #1
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
[20, 10, 10, 60] cosine_similarity: {best: 0.67, worst: 0.63}
✓ [10, 20, 40, 30] l2: {best: -48.48, worst: -50.50}
Pair #2
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
[20, 10, 10, 60] cosine_similarity: {best: 0.67, worst: 0.63}
✓ [10, 25, 40, 25] l2: {best: -48.48, worst: -50.50}
Pair #3
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
[20, 10, 10, 60] cosine_similarity: {best: 0.67, worst: 0.63}
✓ [10, 40, 25, 25] l2: {best: -48.48, worst: -50.50}
Pair #4
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
[20, 10, 10, 60] cosine_similarity: {best: 0.67, worst: 0.63}
✓ [10, 40, 20, 30] l2: {best: -48.48, worst: -50.50}
Pair #5
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
[20, 10, 10, 60] cosine_similarity: {best: 0.67, worst: 0.64}
✓ [15, 40, 35, 10] l2: {best: -48.48, worst: -50.50}
Pair #6
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
[20, 10, 10, 60] cosine_similarity: {best: 0.67, worst: 0.64}
✓ [15, 35, 40, 10] l2: {best: -48.48, worst: -50.50}
Pair #7
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
[20, 10, 10, 60] cosine_similarity: {best: 0.67, worst: 0.64}
✓ [10, 25, 20, 45] l2: {best: -48.48, worst: -50.50}
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
[20, 10, 10, 60] cosine_similarity: {best: 0.67, worst: 0.64}
✓ [10, 20, 25, 45] l2: {best: -48.48, worst: -50.50}
Pair #9
Original choice: Option 1
Pair Score: 0.05
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
[25, 10, 10, 55] cosine_similarity: {best: 0.74, worst: 0.71}
✓ [15, 35, 25, 25] l2: {best: -41.83, worst: -43.59}
Pair #10
Original choice: Option 1
Pair Score: 0.05
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
[25, 10, 10, 55] cosine_similarity: {best: 0.74, worst: 0.71}
✓ [15, 25, 35, 25] l2: {best: -41.83, worst: -43.59}