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User 7b5256b09d25811251e066690715a156 Responses to survey 180

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User ID: 7b5256b09d25811251e066690715a156

Survey ID: 180

Ideal budget: [40, 25, 20, 15]
⏱️ Response Time: 84s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 70%
l2 (Rank) 30%
Pairs List
Pair #1
Original choice: Option 1
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: 0.88, worst: 0.83}
[15, 40, 20, 25] l2: {best: -30.82, worst: -35.36}
Pair #2
Original choice: Option 1
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: 0.88, worst: 0.83}
[15, 35, 35, 15] l2: {best: -30.82, worst: -35.36}
Pair #3
Original choice: Option 1
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: 0.88, worst: 0.83}
[25, 15, 20, 40] l2: {best: -30.82, worst: -35.36}
Pair #4
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: 0.88, worst: 0.83}
[25, 10, 30, 35] l2: {best: -30.82, worst: -35.36}
Pair #5
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: 0.88, worst: 0.83}
[15, 35, 20, 30] l2: {best: -30.82, worst: -35.36}
Pair #6
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: 0.88, worst: 0.83}
✓ [20, 15, 35, 30] l2: {best: -30.82, worst: -35.36}
Pair #7
Original choice: Option 1
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: 0.88, worst: 0.83}
[15, 25, 30, 30] l2: {best: -30.82, worst: -35.36}
Pair #8
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: 0.88, worst: 0.83}
[15, 25, 35, 25] l2: {best: -30.82, worst: -35.36}
Pair #9
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: 0.88, worst: 0.84}
✓ [25, 25, 10, 40] l2: {best: -30.82, worst: -35.36}
Pair #10
Original choice: Option 1
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: 0.88, worst: 0.84}
✓ [25, 10, 40, 25] l2: {best: -30.82, worst: -35.36}