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User c7d9640bc7658b4cad47686ed725f153 Responses to survey 180

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User ID: c7d9640bc7658b4cad47686ed725f153

Survey ID: 180

Ideal budget: [30, 30, 30, 10]
⏱️ Response Time: 147s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 100%
l2 (Rank) 0%
Pairs List
Pair #1
Original choice: Option 1
Pair Score: 0.09
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: 0.82, worst: 0.79}
[20, 20, 20, 40] l2: {best: -34.64, worst: -37.42}
Pair #2
Original choice: Option 2
Pair Score: 0.09
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, 20, 60, 10] cosine_similarity: {best: 0.82, worst: 0.79}
[20, 20, 20, 40] l2: {best: -34.64, worst: -37.42}
Pair #3
Original choice: Option 2
Pair Score: 0.09
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, 60, 20, 10] cosine_similarity: {best: 0.82, worst: 0.79}
[20, 20, 20, 40] l2: {best: -34.64, worst: -37.42}
Pair #4
Original choice: Option 1
Pair Score: 0.09
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: 0.82, worst: 0.79}
[20, 20, 20, 40] l2: {best: -34.64, worst: -37.42}
Pair #5
Original choice: Option 1
Pair Score: 0.09
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
✓ [60, 10, 20, 10] cosine_similarity: {best: 0.82, worst: 0.79}
[20, 20, 20, 40] l2: {best: -34.64, worst: -37.42}
Pair #6
Original choice: Option 2
Pair Score: 0.09
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
✓ [60, 20, 10, 10] cosine_similarity: {best: 0.82, worst: 0.79}
[20, 20, 20, 40] l2: {best: -34.64, worst: -37.42}
Pair #7
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
✓ [65, 15, 10, 10] cosine_similarity: {best: 0.78, worst: 0.74}
[15, 10, 35, 40] l2: {best: -39.37, worst: -43.01}
Pair #8
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
✓ [15, 10, 65, 10] cosine_similarity: {best: 0.78, worst: 0.74}
[15, 35, 10, 40] l2: {best: -39.37, worst: -43.01}
Pair #9
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
✓ [65, 15, 10, 10] cosine_similarity: {best: 0.78, worst: 0.74}
[15, 35, 10, 40] l2: {best: -39.37, worst: -43.01}
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
✓ [15, 10, 65, 10] cosine_similarity: {best: 0.78, worst: 0.74}
[35, 10, 15, 40] l2: {best: -39.37, worst: -43.01}