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User d178a82a12bac872d7a12fe3ac6ef18d Responses to survey 180

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User ID: d178a82a12bac872d7a12fe3ac6ef18d

Survey ID: 180

Ideal budget: [40, 20, 20, 20]
⏱️ Response Time: 77s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 100%
l2 (Rank) 0%
Pairs List
Pair #1
Original choice: Option 2
Pair Score: 0.12
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: 0.89, worst: 0.84}
[15, 30, 25, 30] l2: {best: -29.15, worst: -34.64}
Pair #2
Original choice: Option 2
Pair Score: 0.12
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: 0.89, worst: 0.84}
[15, 25, 30, 30] l2: {best: -29.15, worst: -34.64}
Pair #3
Original choice: Option 2
Pair Score: 0.12
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: 0.89, worst: 0.84}
[15, 30, 30, 25] l2: {best: -29.15, worst: -34.64}
Pair #4
Original choice: Option 1
Pair Score: 0.12
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: 0.89, worst: 0.84}
[15, 25, 25, 35] l2: {best: -30.00, worst: -34.64}
Pair #5
Original choice: Option 2
Pair Score: 0.12
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: 0.89, worst: 0.84}
[15, 25, 35, 25] l2: {best: -30.00, worst: -34.64}
Pair #6
Original choice: Option 2
Pair Score: 0.12
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: 0.89, worst: 0.84}
[15, 35, 25, 25] l2: {best: -30.00, worst: -34.64}
Pair #7
Original choice: Option 1
Pair Score: 0.12
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: 0.89, worst: 0.85}
[25, 15, 45, 15] l2: {best: -30.00, worst: -34.64}
Pair #8
Original choice: Option 1
Pair Score: 0.12
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: 0.89, worst: 0.85}
[25, 15, 15, 45] l2: {best: -30.00, worst: -34.64}
Pair #9
Original choice: Option 1
Pair Score: 0.12
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: 0.89, worst: 0.85}
[25, 45, 15, 15] l2: {best: -30.00, worst: -34.64}
Pair #10
Original choice: Option 2
Pair Score: 0.11
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: 0.89, worst: 0.85}
[20, 25, 15, 40] l2: {best: -29.15, worst: -34.64}