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User b606948ae9d632b1be8c20e0da014b42 Responses to survey 180

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User ID: b606948ae9d632b1be8c20e0da014b42

Survey ID: 180

Ideal budget: [50, 5, 40, 5]
⏱️ Response Time: 97s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 0%
l2 (Rank) 100%
Pairs List
Pair #1
Original choice: Option 1
Pair Score: 0.15
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
[5, 5, 85, 5] cosine_similarity: {best: 0.67, worst: 0.57}
✓ [20, 35, 15, 30] l2: {best: -55.23, worst: -63.64}
Pair #2
Original choice: Option 2
Pair Score: 0.15
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
[5, 5, 85, 5] cosine_similarity: {best: 0.67, worst: 0.57}
✓ [20, 30, 15, 35] l2: {best: -55.23, worst: -63.64}
Pair #3
Original choice: Option 1
Pair Score: 0.14
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
[10, 5, 80, 5] cosine_similarity: {best: 0.72, worst: 0.64}
✓ [20, 30, 20, 30] l2: {best: -50.50, worst: -56.57}
Pair #4
Original choice: Option 1
Pair Score: 0.14
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
[5, 5, 85, 5] cosine_similarity: {best: 0.67, worst: 0.57}
✓ [25, 35, 10, 30] l2: {best: -55.23, worst: -63.64}
Pair #5
Original choice: Option 1
Pair Score: 0.14
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
[5, 5, 85, 5] cosine_similarity: {best: 0.67, worst: 0.57}
✓ [25, 30, 10, 35] l2: {best: -55.23, worst: -63.64}
Pair #6
Original choice: Option 2
Pair Score: 0.14
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
[10, 5, 80, 5] cosine_similarity: {best: 0.72, worst: 0.64}
✓ [25, 35, 15, 25] l2: {best: -50.50, worst: -56.57}
Pair #7
Original choice: Option 2
Pair Score: 0.14
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
[10, 5, 80, 5] cosine_similarity: {best: 0.72, worst: 0.64}
✓ [25, 25, 15, 35] l2: {best: -50.50, worst: -56.57}
Pair #8
Original choice: Option 2
Pair Score: 0.13
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
[5, 5, 85, 5] cosine_similarity: {best: 0.67, worst: 0.58}
✓ [10, 35, 30, 25] l2: {best: -54.77, worst: -63.64}
Pair #9
Original choice: Option 2
Pair Score: 0.13
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
[5, 5, 85, 5] cosine_similarity: {best: 0.67, worst: 0.58}
✓ [10, 25, 30, 35] l2: {best: -54.77, worst: -63.64}
Pair #10
Original choice: Option 2
Pair Score: 0.13
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
[10, 5, 80, 5] cosine_similarity: {best: 0.72, worst: 0.64}
✓ [30, 35, 10, 25] l2: {best: -50.99, worst: -56.57}