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User aeabc566b3e42d4f78a4eb25587e60be Responses to survey 180

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User ID: aeabc566b3e42d4f78a4eb25587e60be

Survey ID: 180

Ideal budget: [40, 30, 15, 15]

⏱️ Response Time: 80s

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: 0.82}
	[15, 30, 20, 35]	l2: {best: -32.40, 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: 0.82}
	[15, 35, 15, 35]	l2: {best: -32.40, worst: -36.74}

Pair #3

Original choice: Option 2

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: 0.82}
	[15, 35, 35, 15]	l2: {best: -32.40, worst: -36.74}

Pair #4

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: 0.82}
	[20, 25, 15, 40]	l2: {best: -32.40, worst: -36.74}

Pair #5

Original choice: Option 2

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: 0.82}
	[20, 25, 40, 15]	l2: {best: -32.40, worst: -36.74}

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
✓	[70, 10, 10, 10]	cosine_similarity: {best: 0.87, worst: 0.82}
	[15, 30, 35, 20]	l2: {best: -32.40, worst: -36.74}

Pair #7

Original choice: Option 2

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: 0.82}
	[20, 20, 35, 25]	l2: {best: -31.62, worst: -36.74}

Pair #8

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: 0.82}
	[20, 20, 25, 35]	l2: {best: -31.62, 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: 0.82}
	[20, 30, 10, 40]	l2: {best: -32.40, worst: -36.74}

Pair #10

Original choice: Option 2

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: 0.82}
	[20, 30, 40, 10]	l2: {best: -32.40, worst: -36.74}