synthetic-attribution-benchmark / dda_comparison_results.json
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Add GA4 DDA comparison: Zhao 2018 vs temporal removal vs exact Shapley (500k journeys)
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{
"n_users": 500000,
"n_conv": 29938,
"seed": 42,
"mae": {
"zhao_empirical": 0.042888414669075677,
"loo_marginal": 0.022822675403415513,
"temporal_removal": 0.021796949460612853
},
"results": {
"paid_search": {
"gt_shapley": 0.309715,
"zhao_empirical": 0.193276,
"loo_marginal": 0.260342,
"temporal_removal": 0.264177,
"bias_zhao": -0.116439,
"bias_loo": -0.049373,
"bias_temporal": -0.045538
},
"social": {
"gt_shapley": 0.165174,
"zhao_empirical": 0.179723,
"loo_marginal": 0.186412,
"temporal_removal": 0.185849,
"bias_zhao": 0.014548,
"bias_loo": 0.021238,
"bias_temporal": 0.020675
},
"display": {
"gt_shapley": 0.069517,
"zhao_empirical": 0.164457,
"loo_marginal": 0.114562,
"temporal_removal": 0.112814,
"bias_zhao": 0.094941,
"bias_loo": 0.045045,
"bias_temporal": 0.043297
},
"email": {
"gt_shapley": 0.14169,
"zhao_empirical": 0.129582,
"loo_marginal": 0.130996,
"temporal_removal": 0.130795,
"bias_zhao": -0.012109,
"bias_loo": -0.010695,
"bias_temporal": -0.010896
},
"organic_search": {
"gt_shapley": 0.141986,
"zhao_empirical": 0.14337,
"loo_marginal": 0.142707,
"temporal_removal": 0.142331,
"bias_zhao": 0.001384,
"bias_loo": 0.000721,
"bias_temporal": 0.000344
},
"direct": {
"gt_shapley": 0.129927,
"zhao_empirical": 0.108366,
"loo_marginal": 0.110116,
"temporal_removal": 0.110072,
"bias_zhao": -0.021561,
"bias_loo": -0.019812,
"bias_temporal": -0.019855
},
"referral": {
"gt_shapley": 0.04199,
"zhao_empirical": 0.081227,
"loo_marginal": 0.054866,
"temporal_removal": 0.053962,
"bias_zhao": 0.039237,
"bias_loo": 0.012876,
"bias_temporal": 0.011972
}
}
}