עברית English

User 70b85eba6e74497f61c47129a610ac10 Responses to survey 180

← Back to Responses List

User ID: 70b85eba6e74497f61c47129a610ac10

Survey ID: 180

Ideal budget: [50, 25, 15, 10]
⏱️ Response Time: 85s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 60%
l2 (Rank) 40%
Pairs List
Pair #1
Original choice: Option 1
Pair Score: 0.10
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, 65, 10, 10] cosine_similarity: {best: 0.66, worst: 0.61}
✓ [10, 25, 30, 35] l2: {best: -49.50, worst: -53.39}
Pair #2
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
[15, 65, 10, 10] cosine_similarity: {best: 0.66, worst: 0.62}
✓ [15, 15, 30, 40] l2: {best: -49.50, worst: -53.39}
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
✓ [15, 65, 10, 10] cosine_similarity: {best: 0.66, worst: 0.62}
[10, 25, 40, 25] l2: {best: -49.50, worst: -53.39}
Pair #4
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
[15, 65, 10, 10] cosine_similarity: {best: 0.66, worst: 0.62}
✓ [10, 25, 35, 30] l2: {best: -48.99, worst: -53.39}
Pair #5
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, 60, 10, 15] cosine_similarity: {best: 0.67, worst: 0.64}
[10, 30, 30, 30] l2: {best: -47.43, worst: -50.00}
Pair #6
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, 60, 10, 15] cosine_similarity: {best: 0.67, worst: 0.65}
[10, 30, 35, 25] l2: {best: -47.43, worst: -50.00}
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
[15, 65, 10, 10] cosine_similarity: {best: 0.66, worst: 0.63}
✓ [15, 15, 45, 25] l2: {best: -49.50, worst: -53.39}
Pair #8
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, 60, 10, 15] cosine_similarity: {best: 0.67, worst: 0.65}
[15, 20, 25, 40] l2: {best: -47.43, worst: -50.00}
Pair #9
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, 65, 10, 10] cosine_similarity: {best: 0.66, worst: 0.63}
[15, 25, 15, 45] l2: {best: -49.50, worst: -53.39}
Pair #10
Original choice: Option 1
Pair Score: 0.07
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, 65, 10, 10] cosine_similarity: {best: 0.66, worst: 0.62}
[15, 20, 20, 45] l2: {best: -50.00, worst: -53.39}