Clustered alpha-smoothing mixture wrapper / results.json

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  1{
  2  "seed": 2161,
  3  "verification": {
  4    "weight_normalization": {
  5      "prediction": "mixture weights sum exactly to one",
  6      "max_abs_error": 2.220446049250313e-16
  7    },
  8    "separation_scaling": {
  9      "prediction": "global midpoint error scales as separation^2; local error is separation-invariant",
 10      "rows": [
 11        {
 12          "separation": 1.0,
 13          "global_midpoint_mse": 0.00018230454203109947,
 14          "clustered_mode_mse": 0.0007341861671934725
 15        },
 16        {
 17          "separation": 2.0,
 18          "global_midpoint_mse": 0.00012707341254911773,
 19          "clustered_mode_mse": 0.0005431380455834707
 20        },
 21        {
 22          "separation": 4.0,
 23          "global_midpoint_mse": 0.00022598946186959266,
 24          "clustered_mode_mse": 0.0007085720306998314
 25        },
 26        {
 27          "separation": 8.0,
 28          "global_midpoint_mse": 0.00013593668481922912,
 29          "clustered_mode_mse": 0.0006997321816717077
 30        }
 31      ]
 32    },
 33    "contamination_threshold": {
 34      "prediction": "one-sided trimming is effective through q approximately alpha, then residual outlier bias appears",
 35      "rows": [
 36        {
 37          "contamination_q": 0.0,
 38          "global_error": 0.011178567310369807,
 39          "clustered_error": 0.01646770043595518,
 40          "predicted_local_threshold": 0.1
 41        },
 42        {
 43          "contamination_q": 0.05,
 44          "global_error": 0.13735140888775935,
 45          "clustered_error": 0.029102922573162663,
 46          "predicted_local_threshold": 0.1
 47        },
 48        {
 49          "contamination_q": 0.1,
 50          "global_error": 0.2732695176184774,
 51          "clustered_error": 0.4056626885823409,
 52          "predicted_local_threshold": 0.1
 53        },
 54        {
 55          "contamination_q": 0.15,
 56          "global_error": 0.5588648613531157,
 57          "clustered_error": 0.7911429997679734,
 58          "predicted_local_threshold": 0.1
 59        },
 60        {
 61          "contamination_q": 0.25,
 62          "global_error": 1.3423151294204914,
 63          "clustered_error": 1.493624541910008,
 64          "predicted_local_threshold": 0.1
 65        }
 66      ]
 67    }
 68  },
 69  "comparison": [
 70    {
 71      "q": 0.0,
 72      "ordinary_mean_error": 0.011076920331646787,
 73      "global_trim_error": 0.011205720531149415,
 74      "clustered_center_error": 0.01652399579780194,
 75      "cluster_count": 2.0,
 76      "smallest_weight": 0.5
 77    },
 78    {
 79      "q": 0.05,
 80      "ordinary_mean_error": 0.35088818497838237,
 81      "global_trim_error": 0.12607708845231488,
 82      "clustered_center_error": 0.026795577977719236,
 83      "cluster_count": 2.0,
 84      "smallest_weight": 0.4763333333333334
 85    },
 86    {
 87      "q": 0.1,
 88      "ordinary_mean_error": 0.7056992558632565,
 89      "global_trim_error": 0.2748694588134826,
 90      "clustered_center_error": 0.40105679628918467,
 91      "cluster_count": 2.0,
 92      "smallest_weight": 0.4491666666666667
 93    },
 94    {
 95      "q": 0.15,
 96      "ordinary_mean_error": 1.0616183574434837,
 97      "global_trim_error": 0.5626229167549132,
 98      "clustered_center_error": 0.7854233871522849,
 99      "cluster_count": 2.0,
100      "smallest_weight": 0.4246666666666667
101    },
102    {
103      "q": 0.25,
104      "ordinary_mean_error": 1.7677980284190757,
105      "global_trim_error": 1.3421312097418638,
106      "clustered_center_error": 1.4690512968466236,
107      "cluster_count": 2.0,
108      "smallest_weight": 0.3733333333333333
109    }
110  ]
111}