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User 1f189a51e852cd09dcadfb7ace46dd17 Responses to survey 180

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User ID: 1f189a51e852cd09dcadfb7ace46dd17

Survey ID: 180

Ideal budget: [55, 15, 15, 15]
⏱️ Response Time: 61s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 50%
l2 (Rank) 50%
Pairs List
Pair #1
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, 60, 10] cosine_similarity: {best: 0.58, worst: 0.56}
[10, 20, 25, 45] l2: {best: -55.23, worst: -57.45}
Pair #2
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, 60, 10, 10] cosine_similarity: {best: 0.58, worst: 0.56}
[10, 20, 25, 45] l2: {best: -55.23, worst: -57.45}
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: 0.58, worst: 0.56}
✓ [10, 20, 25, 45] l2: {best: -55.23, worst: -57.45}
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, 60, 10, 10] cosine_similarity: {best: 0.58, worst: 0.56}
[10, 15, 40, 35] l2: {best: -55.23, worst: -57.45}
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, 60, 10, 10] cosine_similarity: {best: 0.58, worst: 0.56}
[10, 15, 35, 40] l2: {best: -55.23, worst: -57.45}
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: 0.58, worst: 0.56}
✓ [10, 15, 40, 35] l2: {best: -55.23, worst: -57.45}
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, 60, 10] cosine_similarity: {best: 0.58, worst: 0.56}
✓ [10, 15, 40, 35] l2: {best: -55.23, worst: -57.45}
Pair #8
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, 60, 10, 10] cosine_similarity: {best: 0.58, worst: 0.56}
[10, 45, 20, 25] l2: {best: -55.23, worst: -57.45}
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
[20, 60, 10, 10] cosine_similarity: {best: 0.58, worst: 0.56}
✓ [10, 25, 20, 45] l2: {best: -55.23, worst: -57.45}
Pair #10
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: 0.58, worst: 0.56}
✓ [10, 25, 20, 45] l2: {best: -55.23, worst: -57.45}