עברית English

User c0957f4c88fb2e1750aae4deb4b0d8c5 Responses to survey 180

← Back to Responses List

User ID: c0957f4c88fb2e1750aae4deb4b0d8c5

Survey ID: 180

Ideal budget: [40, 25, 25, 10]
⏱️ Response Time: 67s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 100%
l2 (Rank) 0%
Pairs List
Pair #1
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.87, worst: 0.83}
[20, 15, 35, 30] l2: {best: -31.62, worst: -36.74}
Pair #2
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.87, worst: 0.83}
[20, 35, 15, 30] l2: {best: -31.62, worst: -36.74}
Pair #3
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.87, worst: 0.81}
[20, 20, 25, 35] l2: {best: -32.40, worst: -36.74}
Pair #4
Original choice: Option 1
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.87, worst: 0.83}
[15, 25, 45, 15] l2: {best: -32.40, worst: -36.74}
Pair #5
Original choice: Option 1
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.87, worst: 0.81}
[15, 25, 30, 30] l2: {best: -32.40, worst: -36.74}
Pair #6
Original choice: Option 1
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.87, worst: 0.81}
[15, 30, 25, 30] l2: {best: -32.40, worst: -36.74}
Pair #7
Original choice: Option 1
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.87, worst: 0.83}
[15, 45, 25, 15] l2: {best: -32.40, worst: -36.74}
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
✓ [70, 10, 10, 10] cosine_similarity: {best: 0.87, worst: 0.81}
[20, 25, 20, 35] l2: {best: -32.40, worst: -36.74}
Pair #9
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: 0.87, worst: 0.83}
[15, 45, 30, 10] l2: {best: -32.40, worst: -36.74}
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: 0.87, worst: 0.83}
[15, 30, 45, 10] l2: {best: -32.40, worst: -36.74}