עברית English

User b64823aaab68921293c566ff70339a3b Responses to survey 182

← Back to Responses List

User ID: b64823aaab68921293c566ff70339a3b

Survey ID: 182

Ideal budget: [45, 25, 25, 5]
⏱️ Response Time: 22s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 20%
kl (Rank) 80%
Pairs List
Pair #1
Original choice: Option 1
Pair Score: 0.22
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[70, 5, 5, 20] cosine_similarity: {best: 0.83, worst: 0.71}
✓ [20, 65, 10, 5] kl: {best: -0.36, worst: -0.54}
Pair #2
Original choice: Option 2
Pair Score: 0.22
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[70, 5, 5, 20] cosine_similarity: {best: 0.83, worst: 0.71}
✓ [20, 10, 65, 5] kl: {best: -0.36, worst: -0.54}
Pair #3
Original choice: Option 1
Pair Score: 0.22
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[75, 5, 5, 15] cosine_similarity: {best: 0.84, worst: 0.72}
✓ [25, 15, 20, 40] kl: {best: -0.34, worst: -0.52}
Pair #4
Original choice: Option 2
Pair Score: 0.22
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[75, 5, 5, 15] cosine_similarity: {best: 0.84, worst: 0.72}
✓ [25, 20, 15, 40] kl: {best: -0.34, worst: -0.52}
Pair #5
Original choice: Option 1
Pair Score: 0.21
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[80, 5, 5, 10] cosine_similarity: {best: 0.84, worst: 0.72}
✓ [15, 60, 20, 5] kl: {best: -0.33, worst: -0.51}
Pair #6
Original choice: Option 1
Pair Score: 0.21
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [80, 5, 5, 10] cosine_similarity: {best: 0.84, worst: 0.72}
[15, 20, 60, 5] kl: {best: -0.33, worst: -0.51}
Pair #7
Original choice: Option 2
Pair Score: 0.21
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[75, 5, 5, 15] cosine_similarity: {best: 0.84, worst: 0.72}
✓ [15, 60, 20, 5] kl: {best: -0.33, worst: -0.52}
Pair #8
Original choice: Option 1
Pair Score: 0.21
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [75, 5, 5, 15] cosine_similarity: {best: 0.84, worst: 0.72}
[15, 20, 60, 5] kl: {best: -0.33, worst: -0.52}
Pair #9
Original choice: Option 2
Pair Score: 0.21
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[65, 5, 5, 25] cosine_similarity: {best: 0.82, worst: 0.70}
✓ [15, 60, 15, 10] kl: {best: -0.37, worst: -0.56}
Pair #10
Original choice: Option 1
Pair Score: 0.21
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[65, 5, 5, 25] cosine_similarity: {best: 0.82, worst: 0.70}
✓ [15, 15, 60, 10] kl: {best: -0.37, worst: -0.56}