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User 922707efcf4980e8968cab5c3f96b13c Responses to survey 180

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User ID: 922707efcf4980e8968cab5c3f96b13c

Survey ID: 180

Ideal budget: [50, 10, 20, 20]
⏱️ Response Time: 132s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 100%
l2 (Rank) 0%
Pairs List
Pair #1
Original choice: Option 2
Pair Score: 0.08
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: 0.66, worst: 0.63}
[10, 35, 25, 30] l2: {best: -48.48, worst: -50.99}
Pair #2
Original choice: Option 2
Pair Score: 0.08
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: 0.66, worst: 0.63}
[10, 35, 25, 30] l2: {best: -48.48, worst: -50.99}
Pair #3
Original choice: Option 1
Pair Score: 0.08
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: 0.66, worst: 0.64}
[15, 35, 10, 40] l2: {best: -48.48, worst: -50.99}
Pair #4
Original choice: Option 2
Pair Score: 0.08
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: 0.66, worst: 0.64}
[15, 35, 40, 10] l2: {best: -48.48, worst: -50.99}
Pair #5
Original choice: Option 1
Pair Score: 0.08
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: 0.66, worst: 0.64}
[15, 35, 40, 10] l2: {best: -48.48, worst: -50.99}
Pair #6
Original choice: Option 1
Pair Score: 0.08
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: 0.66, worst: 0.64}
[15, 35, 10, 40] l2: {best: -48.48, worst: -50.99}
Pair #7
Original choice: Option 2
Pair Score: 0.08
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: 0.66, worst: 0.63}
[10, 35, 30, 25] l2: {best: -48.48, worst: -50.99}
Pair #8
Original choice: Option 2
Pair Score: 0.08
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: 0.66, worst: 0.63}
[10, 35, 30, 25] l2: {best: -48.48, worst: -50.99}
Pair #9
Original choice: Option 1
Pair Score: 0.08
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: 0.66, worst: 0.64}
[10, 20, 45, 25] l2: {best: -48.48, worst: -50.99}
Pair #10
Original choice: Option 2
Pair Score: 0.08
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: 0.66, worst: 0.64}
[10, 20, 45, 25] l2: {best: -48.48, worst: -50.99}