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User f9b0c4ec19cc5e2d66ae17e261499ea6 Responses to survey 180

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User ID: f9b0c4ec19cc5e2d66ae17e261499ea6

Survey ID: 180

Ideal budget: [30, 20, 40, 10]
⏱️ Response Time: 125s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 20%
l2 (Rank) 80%
Pairs List
Pair #1
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, 10, 70, 10] cosine_similarity: {best: 0.86, worst: 0.81}
[25, 35, 15, 25] l2: {best: -33.17, worst: -37.42}
Pair #2
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, 10, 70, 10] cosine_similarity: {best: 0.86, worst: 0.81}
✓ [15, 25, 25, 35] l2: {best: -33.17, worst: -37.42}
Pair #3
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, 10, 70, 10] cosine_similarity: {best: 0.86, worst: 0.82}
✓ [30, 25, 15, 30] l2: {best: -32.40, worst: -37.42}
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
[10, 10, 70, 10] cosine_similarity: {best: 0.86, worst: 0.82}
✓ [25, 20, 20, 35] l2: {best: -32.40, worst: -37.42}
Pair #5
Original choice: Option 1
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, 10, 70, 10] cosine_similarity: {best: 0.86, worst: 0.82}
[30, 15, 20, 35] l2: {best: -32.40, worst: -37.42}
Pair #6
Original choice: Option 1
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, 10, 70, 10] cosine_similarity: {best: 0.86, worst: 0.82}
✓ [35, 20, 15, 30] l2: {best: -32.40, worst: -37.42}
Pair #7
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
[10, 10, 70, 10] cosine_similarity: {best: 0.86, worst: 0.82}
✓ [15, 45, 25, 15] l2: {best: -33.17, worst: -37.42}
Pair #8
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
[10, 10, 70, 10] cosine_similarity: {best: 0.86, worst: 0.82}
✓ [45, 15, 15, 25] l2: {best: -33.17, worst: -37.42}
Pair #9
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
[10, 10, 70, 10] cosine_similarity: {best: 0.86, worst: 0.81}
✓ [20, 45, 20, 15] l2: {best: -33.91, worst: -37.42}
Pair #10
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
[10, 10, 70, 10] cosine_similarity: {best: 0.86, worst: 0.81}
✓ [35, 10, 20, 35] l2: {best: -33.91, worst: -37.42}