Datasets:
filename string | gender string | age float64 | race string | hispanic string | glaucoma int64 | progression.md float64 | progression.vfi float64 | progression.td_pointwise float64 | progression.md_fast float64 | progression.md_fast_no_p_cut float64 | progression.td_pointwise_no_p_cut float64 | glaucoma_detection_use string | progression_forecasting_use string | md float64 | td1 int64 | td2 int64 | td3 int64 | td4 int64 | td5 int64 | td6 int64 | td7 int64 | td8 int64 | td9 int64 | td10 int64 | td11 int64 | td12 int64 | td13 int64 | td14 int64 | td15 int64 | td16 int64 | td17 int64 | td18 int64 | td19 int64 | td20 int64 | td21 int64 | td22 int64 | td23 int64 | td24 int64 | td26 int64 | td27 int64 | td28 int64 | td29 int64 | td30 int64 | td31 int64 | td32 int64 | td33 int64 | td35 int64 | td36 int64 | td37 int64 | td38 int64 | td39 int64 | td40 int64 | td41 int64 | td42 int64 | td43 int64 | td44 int64 | td45 int64 | td46 int64 | td47 int64 | td48 int64 | td49 int64 | td50 int64 | td51 int64 | td52 int64 | td53 int64 | td54 int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
data_0001 | female | 73.69 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -10.82 | -2 | -2 | 1 | -4 | -9 | -7 | -5 | -4 | -4 | -4 | -29 | -14 | -7 | -11 | -5 | -4 | -2 | 2 | -28 | -30 | -32 | -33 | -24 | -3 | -4 | -2 | -28 | -31 | -13 | -3 | -1 | 0 | -4 | -4 | -30 | -32 | -11 | -2 | -2 | -3 | -2 | -5 | -31 | -20 | -13 | -4 | -3 | 0 | -12 | -8 | -11 | -3 |
data_0002 | female | 34.48 | white | no | 0 | 0 | 1 | 0 | 0 | 0 | 0 | training | training | 1.61 | 2 | 2 | 1 | 4 | 1 | 1 | 0 | 0 | 2 | 4 | 3 | 1 | 2 | 0 | 1 | 3 | 1 | 4 | 2 | 1 | 2 | 1 | 0 | 1 | 0 | 5 | 3 | 1 | 2 | 1 | 2 | 2 | 1 | 5 | 3 | 1 | 2 | 0 | 1 | 2 | 2 | 3 | 4 | 1 | 2 | 2 | 2 | 0 | 2 | 1 | 2 | 1 |
data_0003 | female | 74.49 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 1.85 | 4 | 3 | 2 | -2 | -1 | 1 | 1 | 2 | 1 | -1 | 0 | 1 | 3 | 3 | 2 | 1 | 1 | 4 | 2 | 1 | 1 | 3 | 2 | 3 | 2 | 1 | 5 | 4 | 3 | 2 | 3 | 3 | 3 | 2 | 4 | 3 | 2 | 3 | 2 | 1 | 0 | 2 | 3 | 2 | 0 | 2 | 1 | 2 | 2 | -3 | 2 | 3 |
data_0004 | female | 35.36 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.15 | 1 | -2 | -4 | 0 | -2 | 1 | -1 | 0 | 2 | 3 | 0 | -1 | 1 | 1 | 2 | 0 | 2 | -3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | -2 | 0 | -1 | -1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | -1 | -1 | 0 | -1 | 0 | 2 | 1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 | 2 |
data_0005 | female | 81.32 | black or african american | no | 1 | 1 | 1 | 1 | 0 | 0 | 1 | training | training | -4.52 | -6 | -5 | -7 | -5 | -6 | -5 | -6 | -7 | -4 | -6 | -11 | -8 | -4 | -4 | -6 | -5 | -4 | -5 | -1 | -5 | -7 | -5 | -3 | -3 | -6 | -3 | -3 | -1 | -3 | -4 | -5 | -3 | -5 | -5 | 1 | -3 | -3 | -5 | -6 | -4 | -3 | -3 | -3 | -3 | -3 | -6 | -3 | -3 | -3 | -5 | -5 | -7 |
data_0006 | female | 37.1 | asian | no | 1 | 0 | 0 | 1 | 0 | 0 | 1 | training | training | -14.93 | -31 | -5 | -4 | -1 | -32 | -33 | -33 | -23 | -7 | -4 | -32 | -22 | -13 | -26 | -7 | -8 | -7 | -2 | -30 | -33 | -34 | -24 | -4 | -4 | -4 | -1 | -30 | -33 | -34 | -21 | -4 | -5 | -2 | -5 | -32 | -26 | -18 | -24 | -8 | -2 | 2 | -3 | -29 | -30 | -7 | -4 | -2 | -1 | -12 | -7 | 0 | 0 |
data_0007 | male | 56.01 | black or african american | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -3.47 | -4 | -12 | -13 | -6 | -4 | -5 | -4 | -6 | -2 | -10 | -7 | -4 | -2 | -2 | -2 | -3 | -2 | -2 | -8 | -8 | -3 | -2 | -1 | -2 | -1 | -1 | -7 | -5 | -3 | -1 | 0 | -1 | -2 | -1 | -3 | -2 | -2 | -1 | -2 | -4 | -3 | -2 | -4 | -2 | -1 | -3 | -5 | -10 | -5 | -2 | -7 | -9 |
data_0008 | female | 53.4 | black or african american | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.82 | -1 | -1 | -1 | 2 | -1 | -2 | -1 | 0 | 1 | 1 | -5 | -2 | -1 | -2 | -1 | 0 | -1 | 1 | -2 | -1 | -2 | -1 | 0 | -1 | 0 | 2 | -7 | -2 | 0 | -1 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | -2 | -1 | -2 | -2 | -1 | -1 | -4 | 1 | 0 | -1 |
data_0009 | female | 63.8 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | 0.27 | 3 | 1 | -3 | -8 | -2 | -2 | 0 | -2 | -1 | -3 | 2 | 2 | 2 | 1 | 1 | -1 | -3 | -2 | 3 | 2 | 2 | 3 | 1 | 1 | 0 | -1 | 1 | 1 | 2 | 2 | 1 | 0 | -2 | 1 | -1 | 1 | 0 | -1 | 0 | -1 | 0 | 1 | 1 | 0 | 0 | -2 | 0 | 1 | 1 | 1 | 0 | 0 |
data_0010 | female | 69.4 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.41 | -2 | 3 | 2 | 1 | -1 | 0 | 1 | 1 | 1 | -1 | -2 | -3 | -1 | -1 | 1 | 1 | -5 | 0 | -1 | -1 | -3 | 0 | 1 | 1 | 2 | -2 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | -4 | 0 | -2 | 0 | 0 | 0 | -1 | 0 | -3 | 2 | -2 | 0 | -1 | -2 | -1 | 0 | 0 | -1 | -1 |
data_0011 | male | 60.5 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.55 | 5 | 1 | 0 | 3 | 2 | 4 | 2 | -1 | 2 | 1 | 1 | -1 | 0 | -1 | -1 | 1 | -1 | 3 | 0 | -2 | 0 | -2 | 0 | 0 | -1 | 0 | 0 | 1 | -1 | -1 | -2 | -1 | -1 | -1 | -1 | -1 | -2 | -2 | -1 | -2 | -1 | -1 | -1 | -2 | -4 | 0 | -2 | 0 | -2 | -1 | -2 | 0 |
data_0012 | male | 69.94 | white | null | 1 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -15.96 | -22 | -26 | -21 | -20 | -9 | -11 | -19 | -17 | -13 | -29 | -12 | -7 | -7 | -6 | -25 | -30 | -6 | -26 | -28 | -28 | -27 | -5 | -34 | -33 | -17 | -23 | -28 | -22 | -27 | -32 | -8 | -1 | -22 | -23 | -24 | -11 | -23 | -8 | -7 | -10 | -10 | -11 | -3 | -17 | -10 | -12 | -6 | -5 | -5 | -9 | -7 | -11 |
data_0013 | female | 75.99 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -4.64 | -8 | -4 | -12 | -11 | -13 | -7 | -6 | -9 | -4 | -9 | -12 | -6 | -4 | -7 | -5 | -6 | -3 | -2 | -18 | -10 | -8 | -6 | -4 | -2 | -3 | -1 | -8 | -5 | -7 | -3 | -2 | -2 | -1 | 0 | -7 | -3 | -4 | -2 | -1 | -1 | -3 | 0 | -3 | -3 | -4 | -1 | 0 | -4 | -6 | -6 | 0 | -1 |
data_0014 | male | 44.83 | asian | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.83 | 1 | 1 | 2 | 2 | 2 | 0 | 1 | 1 | 1 | 2 | 2 | 2 | 2 | 0 | -1 | 2 | 2 | 0 | 3 | 1 | 1 | 2 | 0 | -1 | 0 | 3 | 1 | 2 | 2 | 2 | 0 | 1 | 0 | -1 | 3 | 1 | 1 | 1 | 1 | 1 | 1 | -1 | 1 | -1 | 1 | 1 | 0 | -1 | 1 | 1 | 1 | -2 |
data_0015 | female | 47.54 | asian | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -5.31 | -5 | -10 | -7 | -4 | -7 | -5 | -6 | -6 | -4 | -3 | -7 | -5 | -6 | -6 | -5 | -5 | -2 | -2 | -11 | -9 | -8 | -5 | -7 | -18 | -8 | 0 | -3 | -5 | -7 | -4 | -4 | -4 | -1 | -1 | -3 | -5 | -6 | -5 | -4 | -4 | -1 | -3 | -3 | -6 | -6 | -3 | -4 | -6 | -6 | -8 | -4 | -2 |
data_0016 | female | 46.71 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.52 | 1 | -3 | 0 | 0 | -1 | 1 | 1 | 0 | -1 | 1 | -1 | -1 | 1 | 0 | -1 | 1 | 1 | -1 | -3 | -1 | -1 | 1 | -1 | -1 | 1 | 4 | 0 | 0 | 2 | 2 | 0 | -1 | 0 | 0 | 3 | 2 | 2 | 2 | 0 | 1 | 2 | 0 | 2 | 1 | 0 | 1 | 2 | 3 | 2 | 1 | 0 | 3 |
data_0017 | female | 76.84 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.18 | -4 | -2 | -2 | -4 | 3 | -2 | -3 | -2 | 0 | -2 | 2 | 1 | -2 | 0 | -1 | 1 | 0 | 0 | 3 | 1 | 1 | -1 | 1 | 1 | -1 | 0 | -2 | -2 | 0 | 0 | 1 | 1 | -1 | 2 | -2 | 0 | -1 | 0 | 0 | -2 | 1 | 0 | 3 | 0 | 0 | 0 | 0 | 4 | 2 | -2 | 1 | 1 |
data_0018 | female | 54.4 | black or african american | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -11.86 | -10 | -7 | -9 | -9 | -10 | -9 | -11 | -10 | -10 | -12 | -12 | -9 | -11 | -12 | -12 | -12 | -10 | -10 | -3 | -4 | -8 | -10 | -11 | -12 | -12 | -18 | -9 | -12 | -11 | -12 | -15 | -16 | -14 | -22 | -14 | -12 | -12 | -13 | -14 | -12 | -13 | -17 | -11 | -14 | -12 | -15 | -12 | -14 | -16 | -13 | -13 | -13 |
data_0019 | female | 77.39 | black or african american | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.19 | 0 | 2 | 2 | 1 | 3 | 1 | 2 | 1 | 1 | 0 | 1 | 1 | 2 | 0 | -1 | -3 | -2 | -1 | 2 | 0 | 0 | 2 | 0 | -2 | -1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | -1 | -2 | 0 | 0 | -1 | -2 | -7 | -4 | -1 | 0 | 0 | -1 | -3 | -2 | 0 | -3 | -1 | 1 |
data_0020 | female | 80.55 | black or african american | no | 1 | 1 | 1 | 1 | 1 | 1 | 1 | training | training | -7.07 | -12 | -9 | -9 | -9 | -8 | -8 | -9 | -8 | -5 | -16 | -14 | -8 | -6 | -7 | -5 | -8 | -22 | -7 | -17 | -12 | -5 | -3 | -3 | -3 | -10 | -8 | -21 | -7 | -6 | -3 | -2 | -3 | -5 | -10 | -8 | -7 | -6 | -5 | -4 | -6 | -4 | -6 | -9 | -5 | -5 | -6 | -4 | -10 | -3 | -9 | -5 | -7 |
data_0021 | male | 59.63 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.94 | 0 | 1 | 0 | 3 | -2 | 0 | 0 | -2 | -1 | 0 | 1 | -4 | 1 | 0 | -1 | -4 | -2 | -3 | 1 | -1 | -1 | 0 | 1 | 1 | -1 | -2 | 2 | -1 | -1 | -1 | 0 | 0 | -1 | -2 | -2 | -3 | -2 | -1 | 0 | -1 | 0 | 0 | -1 | -1 | -1 | -3 | -2 | -3 | 0 | 0 | -4 | -3 |
data_0022 | female | 56.58 | asian | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -3.68 | -6 | -5 | -12 | -7 | -8 | -6 | -3 | -5 | -2 | -5 | -12 | -6 | -2 | -2 | -2 | -3 | -2 | -3 | -3 | -4 | -3 | -2 | -1 | 0 | -1 | -4 | -7 | -5 | -2 | -2 | -1 | -1 | -1 | -1 | -4 | -4 | -4 | -3 | -4 | -6 | -3 | -2 | -4 | -4 | -3 | -8 | -4 | -3 | -3 | -3 | -6 | -8 |
data_0023 | male | 81.12 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -5.24 | 0 | -11 | -6 | -4 | 2 | 0 | -3 | -9 | -2 | -1 | -2 | 1 | 0 | -2 | -32 | -3 | -2 | -1 | -5 | -2 | 0 | -2 | -3 | -15 | -4 | 0 | -28 | -12 | -3 | -2 | -2 | -2 | -25 | 0 | -27 | -6 | -5 | -3 | -2 | -2 | -1 | -1 | -9 | -6 | -6 | -4 | -1 | -1 | -11 | -12 | -2 | -2 |
data_0024 | female | 42.19 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.24 | 0 | 2 | 1 | 3 | 2 | 1 | 1 | 0 | 0 | -3 | 2 | -1 | 1 | 0 | -3 | -2 | -1 | -1 | 0 | 1 | 1 | 0 | -1 | -1 | -1 | 0 | 4 | 1 | 1 | 0 | -2 | 0 | -1 | -1 | 0 | -1 | 0 | -2 | -1 | -2 | -2 | -3 | -1 | 0 | -2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 |
data_0025 | female | 64.79 | black or african american | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -7.63 | -13 | -6 | -8 | -13 | -7 | -4 | -5 | -9 | -3 | -9 | -7 | -6 | -5 | -6 | -3 | -3 | -6 | -2 | -12 | -6 | -5 | -2 | -5 | -3 | -3 | -3 | -5 | -7 | -6 | -5 | -7 | -3 | -5 | -7 | -9 | -10 | -14 | -7 | -10 | -10 | -6 | -10 | -7 | -11 | -18 | -18 | -7 | -14 | -17 | -17 | -8 | -9 |
data_0026 | female | 56.85 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.37 | -1 | 0 | 0 | 0 | -3 | -1 | -2 | -1 | 0 | 0 | -1 | -1 | 1 | -1 | -3 | -1 | -3 | -1 | 0 | 0 | 1 | 1 | 1 | 0 | -1 | -1 | -1 | 0 | 1 | 2 | 1 | 0 | 1 | 1 | -3 | -1 | 2 | 0 | 0 | -1 | 0 | -2 | 1 | 0 | 0 | -2 | -2 | 0 | 1 | -1 | -2 | -4 |
data_0027 | male | 81.93 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -6.4 | -13 | -3 | -6 | -4 | -17 | -6 | -14 | 0 | -2 | 0 | -29 | -28 | -26 | -26 | -3 | -4 | 0 | 0 | -27 | -30 | -28 | -16 | -4 | -3 | -1 | -4 | -17 | -14 | 1 | -1 | 1 | 0 | -2 | -4 | -4 | 0 | -1 | 1 | 2 | 0 | -3 | 0 | -2 | -2 | -1 | -1 | -1 | 2 | -5 | -2 | -3 | -4 |
data_0028 | male | 62.73 | black or african american | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.5 | -3 | 3 | 2 | 2 | -3 | 0 | 1 | 0 | 0 | 2 | -1 | -1 | -1 | 0 | -2 | -2 | 1 | -2 | 0 | -1 | -2 | 0 | -1 | -2 | 1 | -5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 0 | 0 | -1 | -1 | -1 | 0 | -2 | -3 | -1 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | -2 | -1 |
data_0029 | female | 51.35 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.55 | 0 | -2 | -1 | -2 | 0 | -1 | 0 | -1 | 0 | 2 | -3 | -1 | -2 | 0 | -2 | -1 | -3 | 0 | -1 | -1 | 0 | 0 | 1 | 0 | -2 | -3 | -1 | -2 | 1 | 1 | 1 | 0 | 0 | -2 | -2 | 0 | -1 | 1 | 0 | -2 | -1 | 0 | 1 | -1 | 0 | 0 | -1 | -1 | 0 | 1 | 0 | -3 |
data_0030 | female | 61.49 | white | no | 1 | 1 | 0 | 1 | 1 | 1 | 1 | training | training | -13.04 | -17 | -11 | -10 | -16 | -15 | -17 | -9 | -10 | -6 | -9 | -28 | -15 | -15 | -8 | -8 | -9 | -8 | -5 | -28 | -31 | -33 | -18 | -34 | -7 | -21 | -4 | -15 | -14 | -19 | -15 | -4 | -6 | -5 | -4 | -17 | -15 | -15 | -11 | -5 | -6 | -8 | -10 | -24 | -13 | -13 | -6 | -6 | -11 | -12 | -9 | -11 | -8 |
data_0031 | male | 69.96 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.03 | 1 | 1 | 1 | 0 | 3 | 1 | 0 | -1 | 1 | -2 | -1 | 2 | 1 | 2 | 1 | 0 | 1 | 0 | 3 | 1 | 2 | 0 | 0 | -1 | -1 | -2 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | -4 | 0 | 0 | -2 | -2 | -1 | 0 | -2 | -1 | 0 | -1 | -1 | -2 | 1 | -2 | 0 | 0 | 1 | 0 |
data_0032 | female | 60.39 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -0.64 | -3 | 0 | -2 | 0 | -1 | 0 | 0 | 0 | 0 | -2 | -5 | -3 | -1 | 0 | 0 | -2 | 0 | -1 | -1 | 0 | -1 | -2 | 0 | 0 | -2 | 1 | 2 | 1 | 0 | -2 | -2 | 0 | -3 | -1 | 2 | 0 | 0 | -1 | -1 | -1 | -1 | -3 | 3 | 1 | -2 | -2 | 0 | 0 | 2 | -2 | 0 | 3 |
data_0033 | male | 76.67 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -0.32 | 1 | 2 | 0 | 4 | 0 | 1 | 1 | 0 | 2 | 0 | 3 | -2 | -1 | -1 | 0 | 1 | 0 | 0 | -1 | 0 | -1 | -2 | -2 | 1 | 2 | 1 | 0 | -3 | -1 | -1 | 0 | 0 | 1 | -1 | -4 | -2 | -2 | -1 | 0 | -1 | 0 | 2 | -3 | -1 | 0 | 0 | -1 | -4 | 0 | 2 | 1 | 2 |
data_0034 | male | 80.3 | white | no | 0 | 1 | 0 | 0 | 0 | 0 | 0 | training | training | 0.03 | 2 | 2 | -1 | -3 | 2 | 1 | 1 | 0 | -1 | -1 | 4 | 1 | 0 | -1 | 0 | 0 | -1 | 0 | 4 | 1 | -1 | 1 | 1 | -1 | -2 | 0 | -2 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | -2 | 0 | -2 | -1 | 0 | -1 | -1 | 0 | 1 | 0 | 0 | -2 | -2 | 1 | 1 | 0 |
data_0035 | male | 64.21 | white | no | 1 | 0 | 0 | 1 | 0 | 0 | 1 | training | training | -3.26 | 1 | 1 | -1 | -4 | -1 | 0 | 0 | -1 | -2 | 0 | -3 | -3 | -1 | -2 | -3 | -2 | 0 | 1 | -5 | -3 | -4 | -3 | -2 | -1 | -2 | -4 | -5 | -6 | -7 | -7 | -9 | -3 | -3 | -1 | -18 | -6 | -5 | -6 | -5 | -4 | -2 | -2 | -3 | -3 | -3 | -2 | -2 | -2 | -3 | -5 | -2 | -1 |
data_0036 | female | 72.39 | white | no | 0 | 1 | 0 | 0 | 0 | 0 | 1 | training | training | -1 | -2 | -4 | -9 | -1 | -3 | -4 | -2 | -4 | -1 | -3 | -1 | -1 | -2 | -1 | -1 | -2 | -1 | -2 | 0 | 0 | 0 | 0 | 0 | -2 | 0 | -3 | -7 | 1 | 1 | -1 | 0 | 0 | -1 | -1 | 2 | 1 | 0 | -2 | -2 | -1 | -3 | -1 | 1 | 0 | 0 | 0 | 0 | -1 | -2 | -2 | 0 | -2 |
data_0037 | female | 78.21 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -7.58 | -2 | -1 | -14 | -15 | -2 | -2 | -5 | -8 | -8 | -10 | -14 | -4 | -3 | -7 | -11 | -12 | -7 | -7 | -13 | -11 | -4 | -5 | -4 | -4 | -5 | -7 | -28 | -6 | -6 | -8 | -4 | -5 | -7 | -12 | -16 | -7 | -9 | -7 | -7 | -6 | -7 | -14 | -14 | -9 | -9 | -9 | -4 | -10 | -11 | -6 | -6 | -8 |
data_0038 | female | 59.15 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.24 | 2 | 1 | 1 | 3 | 0 | 4 | 1 | 1 | -1 | 1 | 3 | 2 | 2 | 0 | 0 | -1 | 0 | 1 | 2 | 1 | 1 | -1 | 0 | 2 | 0 | 1 | -7 | 0 | -1 | -1 | 0 | 1 | -2 | -1 | 0 | -1 | 0 | -2 | 0 | -2 | 1 | 1 | -1 | -3 | -3 | -2 | -1 | -1 | -2 | -1 | -1 | -1 |
data_0039 | female | 51.55 | asian | no | 0 | 0 | 1 | 0 | 0 | 0 | 0 | training | training | -0.67 | -4 | -2 | -2 | -2 | -2 | -1 | -1 | -2 | 1 | 0 | -4 | 0 | 1 | 1 | -1 | 0 | 1 | -2 | -2 | -1 | -1 | 0 | -1 | 0 | -1 | 0 | -2 | 0 | 1 | 0 | -2 | 0 | 1 | -1 | 0 | 0 | 1 | -2 | -2 | -1 | 0 | 0 | -3 | -1 | -1 | 0 | 1 | -1 | -1 | -3 | 0 | -2 |
data_0040 | female | 34.02 | black or african american | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -6.14 | -9 | -11 | -15 | -11 | -6 | -3 | -2 | -13 | -14 | -11 | -8 | -5 | -4 | -3 | -5 | -8 | -14 | -8 | -5 | -10 | -5 | -7 | -3 | -3 | -4 | -14 | -13 | -9 | -4 | -4 | -3 | -3 | -6 | -2 | -11 | -6 | -4 | -5 | -4 | -6 | -3 | -5 | -6 | -3 | -7 | -4 | -3 | -3 | -5 | -12 | -6 | -5 |
data_0041 | female | 50.35 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -17.05 | -30 | -30 | -29 | -29 | -31 | -32 | -32 | -32 | -31 | -30 | -31 | -33 | -31 | -32 | -31 | -33 | -32 | -21 | -29 | -32 | -33 | -34 | -33 | -23 | -26 | -20 | -10 | -16 | -9 | -5 | -6 | -6 | -4 | -6 | -12 | -7 | -5 | -4 | -4 | -5 | -3 | -7 | -10 | -3 | -6 | -8 | -3 | -4 | -6 | -4 | -5 | -2 |
data_0042 | female | 55.32 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.9 | 2 | -1 | 0 | 1 | 1 | 1 | 0 | -1 | 1 | 2 | -1 | -2 | 0 | -1 | -1 | 0 | 1 | 0 | -2 | -3 | -1 | -2 | -1 | -1 | 2 | -2 | -1 | -1 | 0 | -1 | 0 | -2 | -2 | 0 | -2 | -1 | -2 | -1 | -1 | -1 | 0 | -2 | 2 | -1 | -1 | -3 | -2 | 0 | -3 | -4 | -3 | -4 |
data_0043 | male | 50.25 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.55 | -2 | 1 | 2 | 3 | -2 | 0 | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | -1 | 0 | 1 | 3 | 1 | -1 | -1 | 1 | 0 | 1 | 1 | 0 | 4 | -1 | 1 | 2 | 0 | -1 | 1 | 1 | 2 | 0 | 2 | 1 | -1 | 1 | -1 | 1 | 1 | 1 | -1 | 0 | -1 | 1 | 4 | -1 | -1 | 1 |
data_0044 | male | 62.62 | white | no | 0 | 0 | 1 | 0 | 0 | 0 | 0 | training | training | 0.76 | 2 | 2 | 1 | 3 | 2 | 1 | 0 | -3 | 1 | -1 | 1 | 1 | 0 | 2 | 2 | 1 | -1 | -1 | 2 | 0 | -1 | 0 | 1 | 1 | 1 | 0 | 3 | 2 | 3 | 2 | 2 | 1 | -1 | 1 | 0 | 2 | 2 | 0 | 1 | 0 | -2 | 2 | 3 | 1 | -1 | -1 | 0 | -3 | 2 | 1 | 0 | 0 |
data_0045 | male | 78.07 | asian | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -4.38 | -6 | -11 | -10 | -15 | -7 | -6 | -6 | -5 | -6 | -18 | -5 | -3 | -5 | -4 | -6 | -4 | -5 | -4 | -4 | -4 | -4 | -3 | -4 | -4 | -1 | -1 | -5 | -3 | -4 | -2 | -4 | -3 | -1 | -2 | -10 | -4 | -3 | -4 | -3 | 0 | -3 | -4 | -3 | -5 | -3 | -4 | -2 | -7 | -4 | -4 | -7 | -4 |
data_0046 | female | 72.11 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -10.81 | -16 | -5 | -8 | -6 | -14 | -11 | -8 | -5 | -2 | -2 | -11 | -9 | -5 | -6 | -3 | -7 | -5 | -7 | -28 | -15 | -6 | -9 | -34 | -33 | -31 | -6 | -12 | -25 | -17 | -8 | -2 | -2 | -8 | -2 | -30 | -21 | -6 | -5 | -5 | -6 | -5 | -6 | -19 | -8 | -8 | -10 | -7 | -10 | -17 | -14 | -6 | -9 |
data_0047 | male | 67.28 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.82 | -2 | 0 | 0 | -5 | 0 | 0 | 0 | -3 | -1 | -1 | -1 | -2 | -1 | -2 | -1 | -3 | -3 | -2 | -3 | -1 | 0 | 0 | -1 | -2 | -1 | 1 | 1 | 0 | 0 | 0 | -2 | -2 | -1 | 2 | 0 | 0 | -1 | -1 | -1 | 0 | 1 | 1 | 0 | -1 | 0 | -2 | 1 | 0 | 0 | 0 | -2 | 1 |
data_0048 | male | 58.25 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.29 | 2 | 2 | 2 | 1 | -1 | 1 | 2 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | -1 | 1 | -2 | 1 | 1 | 1 | 0 | 1 | 1 | -2 | 1 | 1 | 1 | 1 | 1 | -1 | 1 | 1 | -2 | 1 | 0 | 1 | -1 | -1 | 0 | -1 | 1 | -1 | 1 | -1 | 0 | -1 | 0 | 1 | 1 | 0 | -2 |
data_0049 | female | 69.81 | white | no | 1 | 0 | 1 | 1 | 0 | 0 | 1 | training | training | -14.47 | -13 | -11 | -7 | -7 | -10 | -11 | -12 | -7 | -7 | -6 | -23 | -14 | -8 | -9 | -10 | -10 | -7 | -5 | -28 | -31 | -20 | -15 | -24 | -5 | -9 | -4 | -19 | -28 | -16 | -16 | -23 | -10 | -22 | -6 | -14 | -18 | -28 | -21 | -17 | -13 | -6 | -5 | -14 | -21 | -19 | -12 | -14 | -7 | -19 | -16 | -9 | -8 |
data_0050 | female | 64.8 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -3.44 | -1 | 0 | 1 | 0 | -4 | -2 | -1 | -1 | 0 | -2 | -4 | -8 | -4 | -3 | -4 | -2 | 0 | 0 | -4 | -15 | -6 | -5 | -3 | -4 | -2 | -2 | -4 | -3 | -4 | -4 | -4 | -3 | -4 | 1 | -5 | -1 | -2 | -3 | -5 | -4 | -2 | 2 | -2 | -4 | -5 | -5 | -2 | -2 | -7 | -5 | -4 | -6 |
data_0051 | male | 36.08 | black or african american | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 1 | 2 | 1 | 1 | 2 | 9 | 2 | 2 | 1 | 0 | 0 | 3 | 4 | 3 | 1 | 0 | 0 | 2 | -1 | 2 | -1 | 2 | 2 | 1 | 1 | 0 | -1 | 3 | 2 | 1 | 2 | 0 | -1 | 1 | -2 | 1 | 1 | 1 | 0 | 1 | 1 | 2 | -1 | 2 | 0 | -1 | 0 | 0 | 3 | 2 | 1 | 2 | -1 |
data_0052 | male | 62.38 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.24 | 0 | -1 | 0 | -2 | 0 | -2 | -2 | 0 | 0 | 2 | 0 | 0 | 0 | -1 | 0 | -1 | 2 | 2 | 2 | -2 | -1 | 0 | 1 | 2 | -1 | 1 | 2 | 1 | 0 | 1 | 2 | 2 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | -3 | -1 | -1 | -2 | -1 | 1 | 0 | 0 | 2 | 1 | 1 |
data_0053 | female | 53.3 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -0.38 | -2 | 0 | 0 | 0 | 0 | -1 | -1 | -1 | 0 | 1 | -2 | -2 | -1 | 0 | -1 | 1 | 2 | 0 | -2 | -1 | 1 | 0 | -1 | -1 | -1 | 1 | -2 | -1 | 1 | -1 | 0 | 0 | -2 | -1 | 0 | -1 | -1 | -1 | -1 | -1 | 1 | 0 | -1 | 0 | 1 | -1 | 1 | -1 | 0 | 0 | 1 | -1 |
data_0054 | female | 70.83 | white | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -3.28 | -1 | 1 | -2 | 1 | 1 | -1 | -2 | -1 | -1 | -2 | -3 | -1 | -1 | -2 | -3 | -1 | -2 | -2 | -2 | -2 | -2 | -2 | -1 | -2 | -4 | -5 | -2 | -5 | -5 | -4 | -4 | -3 | -4 | -1 | -6 | -6 | -4 | -6 | -4 | -3 | -5 | -5 | -9 | -5 | -7 | -6 | -2 | -5 | -4 | -3 | -3 | -5 |
data_0055 | female | 76.27 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -4.68 | -3 | -5 | -9 | -7 | -6 | -5 | -6 | -3 | -2 | -8 | -4 | -6 | -4 | -4 | -2 | -3 | -3 | -8 | -7 | -10 | -7 | -3 | -2 | -2 | -4 | -7 | -6 | -4 | -3 | -3 | -2 | -2 | -4 | -4 | -5 | -4 | -6 | -4 | -4 | -5 | -6 | -8 | -8 | -5 | -8 | -4 | -6 | -5 | -6 | -3 | -2 | -8 |
data_0056 | male | 62.83 | black or african american | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -3.36 | -6 | -18 | -3 | -2 | -8 | -7 | -4 | -6 | -3 | -8 | -15 | -3 | -4 | -2 | -1 | 0 | -4 | -6 | -11 | -5 | -3 | -4 | -2 | -2 | 0 | -4 | -4 | -5 | -3 | -2 | -1 | 0 | 0 | -4 | -4 | -2 | 0 | -4 | -4 | 0 | 2 | 0 | -5 | -1 | -2 | -1 | -1 | -4 | -5 | -4 | -3 | -1 |
data_0057 | female | 77.53 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -3.16 | -2 | -1 | -2 | 2 | -2 | -2 | -1 | -1 | -1 | -2 | -3 | -2 | -5 | -2 | -2 | -3 | -2 | -2 | -4 | -4 | -3 | -4 | -2 | -2 | -5 | -4 | 0 | -2 | -2 | -3 | -3 | -2 | -7 | -2 | -6 | -4 | -8 | -6 | -4 | -7 | -5 | -1 | -1 | -4 | -5 | -4 | -3 | -5 | -3 | -3 | -3 | -3 |
data_0058 | male | 66.23 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -16.33 | -4 | -14 | -19 | -13 | -14 | -4 | -15 | -29 | -25 | -11 | -22 | -11 | -9 | -12 | -25 | -16 | -7 | -3 | -11 | -17 | -8 | -15 | -6 | -6 | -4 | -5 | -28 | -27 | -33 | -34 | -13 | -5 | -5 | -1 | -31 | -25 | -23 | -32 | -34 | -20 | -6 | -4 | -17 | -19 | -23 | -19 | -18 | -16 | -11 | -16 | -7 | -20 |
data_0059 | female | 73.76 | white | no | 0 | 1 | 1 | 1 | 0 | 0 | 1 | training | training | -0.12 | 1 | 3 | 1 | -3 | 2 | 0 | 0 | -2 | 0 | 1 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 1 | -1 | 2 | 0 | -2 | -1 | 1 | 1 | 2 | 2 | 0 | -1 | 0 | -1 | 1 | 1 | 0 | 0 | -2 | -1 | -2 | 1 | 1 | -1 | 1 | -1 | 0 | -2 | 0 | -1 | -4 | -6 | -1 | 1 | 0 |
data_0060 | female | 42.66 | asian | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.01 | 2 | 1 | 4 | 1 | 1 | 0 | -1 | -2 | 0 | 3 | 0 | 1 | -2 | 0 | 0 | -1 | 0 | -1 | 2 | -1 | -4 | -3 | -1 | 0 | 0 | 1 | 3 | 0 | -3 | -2 | -1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 2 | -2 | -1 | 1 | -1 | 1 | 3 | -1 | 1 | 0 | 0 | 2 | 1 |
data_0061 | male | 75.24 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.12 | 0 | 0 | -2 | -3 | 1 | -2 | 0 | -3 | -2 | -4 | 1 | 1 | 1 | -1 | 0 | 0 | -2 | 1 | 2 | 0 | 0 | 0 | -1 | -1 | 0 | 0 | -2 | 1 | 1 | 1 | 1 | 1 | -1 | 0 | 1 | 0 | -1 | 0 | 0 | 1 | 0 | -2 | 0 | 0 | 1 | 1 | 1 | 2 | -3 | 0 | -1 | 2 |
data_0062 | female | 70.2 | black or african american | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.83 | -3 | 1 | 0 | -5 | -1 | 0 | 0 | -1 | -3 | 0 | -1 | -2 | -2 | -2 | -2 | 0 | 1 | 1 | -3 | -1 | -1 | -1 | 0 | 0 | -1 | -2 | 1 | -1 | -2 | -1 | 0 | 1 | 1 | -1 | -4 | -1 | 1 | -2 | 2 | 1 | 2 | -7 | 0 | -1 | -4 | 0 | 2 | 1 | -1 | 1 | -1 | -1 |
data_0063 | female | 42.95 | asian | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.73 | 1 | -1 | 1 | -4 | 1 | 0 | 0 | -2 | -2 | 0 | 1 | 0 | 0 | 1 | 0 | -1 | 0 | -2 | -1 | -3 | 1 | 0 | -1 | 0 | -2 | -3 | 1 | 0 | 0 | -1 | 0 | 0 | -1 | -4 | 0 | -1 | -1 | 1 | -1 | -3 | -2 | -4 | -1 | 0 | -1 | -1 | -1 | 0 | 0 | -3 | -1 | -3 |
data_0064 | female | 78.49 | black or african american | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -4.15 | -9 | -5 | -3 | -5 | -4 | -5 | -2 | -3 | -2 | -2 | -6 | -2 | -4 | -3 | -6 | -4 | -2 | -1 | -3 | -3 | -2 | -2 | -1 | -2 | -4 | -4 | -5 | -6 | -7 | -3 | -2 | -2 | -3 | -5 | -10 | -5 | -4 | -5 | -2 | -2 | 0 | -6 | -6 | -3 | -8 | -5 | -3 | 0 | -14 | -10 | -9 | -5 |
data_0065 | male | 76.41 | white | null | 0 | 1 | 0 | 1 | 0 | 0 | 1 | training | training | -0.94 | -1 | 0 | 1 | -4 | -2 | -2 | 0 | -2 | -1 | -1 | 3 | -2 | -1 | 0 | 0 | -1 | -3 | 2 | -1 | 0 | 0 | 0 | -1 | 0 | -1 | 0 | 0 | 0 | 0 | -2 | -1 | 0 | 0 | -2 | -1 | -1 | 0 | -2 | -1 | -2 | -4 | -1 | -3 | 0 | -2 | -3 | -2 | -5 | -1 | 0 | 0 | -3 |
data_0066 | male | 35.89 | white | no | 1 | 0 | 0 | 1 | 0 | 0 | 1 | training | training | -6.31 | 1 | -1 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | -1 | -1 | 0 | 0 | -2 | -1 | 2 | -2 | -1 | -2 | -1 | -2 | 0 | -1 | 1 | -31 | -16 | -25 | -14 | -3 | -2 | -1 | 1 | -33 | -34 | -33 | -5 | -3 | -12 | -4 | -3 | -5 | -24 | -6 | -3 | -3 | -5 | -5 | -9 | -3 | -3 |
data_0067 | male | 53.68 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 1.7 | 2 | 3 | 2 | 2 | 2 | 1 | 2 | 2 | 0 | 4 | 1 | 3 | 2 | 1 | 2 | 0 | 4 | 2 | 6 | 2 | 1 | 2 | 2 | 1 | 2 | 3 | 3 | 5 | 2 | 2 | 1 | 1 | 3 | -2 | 3 | 2 | 3 | 0 | 1 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 3 | 1 | 2 | 2 | 3 | 1 |
data_0068 | male | 68.36 | black or african american | no | 1 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -5.32 | -3 | -22 | -6 | -2 | -11 | -5 | -6 | -6 | -5 | -7 | -11 | -6 | -7 | -4 | -6 | -9 | -7 | -3 | -8 | -6 | -4 | -4 | -2 | -3 | -7 | -1 | -11 | -5 | -3 | -3 | -2 | -2 | -4 | 0 | -6 | -7 | -8 | -5 | -5 | -13 | -1 | -1 | -8 | -5 | -7 | -6 | -1 | -3 | -7 | -2 | 0 | -3 |
data_0069 | female | 64.3 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.36 | 1 | -2 | -1 | 3 | 1 | -1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 2 | 0 | -2 | -1 | -1 | 1 | 0 | 1 | 0 | 1 | -1 | 0 | -1 | 0 | -1 | 0 | 1 | 2 | 1 | 0 | 1 | 0 | -1 | 0 | 1 | 1 | 1 | 0 | -1 | 0 | 1 | 2 | -1 | 0 | 0 |
data_0070 | male | 68.55 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.06 | 2 | 3 | 0 | -1 | 1 | 3 | 1 | 0 | -2 | -1 | 2 | 3 | 2 | 1 | 0 | -1 | -2 | -1 | 3 | 1 | 0 | 0 | 0 | 0 | -3 | -3 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | -1 | 0 | 0 | -1 | 0 | 0 | -1 | -3 | -2 | -1 | 0 | 0 | 0 | 0 | -1 | -3 | 0 | 0 | -3 |
data_0071 | male | 94.26 | white | no | 1 | 1 | 1 | 1 | 0 | 0 | 1 | training | training | -7.11 | -2 | -7 | -9 | -10 | 3 | -1 | -7 | -4 | -2 | -3 | -5 | -1 | -5 | -5 | -4 | -6 | -3 | -3 | -4 | -5 | -4 | -4 | -2 | -3 | -6 | 1 | -7 | -6 | -7 | -30 | -20 | -5 | -5 | -4 | -10 | -6 | -6 | -18 | -32 | -10 | -4 | -5 | -8 | -6 | -7 | -10 | -5 | -5 | -4 | -1 | -4 | -4 |
data_0072 | male | 56.78 | white | no | 1 | 1 | 0 | 1 | 0 | 0 | 1 | training | training | -7.11 | -6 | -11 | -6 | -8 | -8 | -4 | -4 | -7 | -3 | -3 | -10 | -9 | -4 | -5 | -5 | 0 | -2 | -7 | -16 | -15 | -12 | -13 | -10 | -1 | 1 | -8 | -15 | -10 | -10 | -10 | -4 | 0 | -1 | -5 | -7 | -4 | -4 | -7 | -5 | -3 | -4 | -8 | -7 | -7 | -8 | -7 | -15 | -3 | -21 | -19 | -16 | -12 |
data_0073 | female | 28.04 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.02 | 2 | 1 | 1 | 2 | 4 | -1 | 0 | 0 | -1 | 3 | -1 | 1 | 0 | 0 | -1 | -4 | 0 | 0 | -2 | 0 | 0 | -1 | 0 | 0 | -1 | 1 | -1 | 1 | 0 | 0 | -1 | -1 | -1 | 2 | 3 | -1 | 0 | -2 | 0 | 1 | 0 | 2 | 0 | -1 | -1 | -1 | 0 | 2 | 3 | 1 | 0 | 1 |
data_0074 | female | 62.53 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.21 | -1 | 1 | -2 | 3 | -1 | 1 | 1 | -1 | -1 | 0 | 1 | 1 | 0 | 0 | -2 | -1 | 2 | 2 | 1 | -1 | 2 | 2 | 1 | 1 | 1 | 0 | -1 | -1 | 1 | 2 | 1 | 1 | 0 | -2 | -2 | 1 | 0 | -1 | 0 | -3 | -1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | -1 | -2 | 0 |
data_0075 | female | 59.27 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -0.49 | -3 | -1 | 1 | 0 | 1 | -2 | -1 | 0 | 0 | 0 | 1 | 1 | 0 | -2 | -1 | -4 | 0 | -2 | 5 | 0 | -1 | -1 | 0 | 0 | -1 | 0 | -1 | 0 | 0 | 1 | -1 | -2 | -1 | 4 | 3 | 1 | 1 | -2 | -1 | -4 | -1 | 0 | -5 | -1 | -1 | 0 | -1 | 0 | -2 | -1 | 1 | 0 |
data_0076 | male | 67.42 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -0.32 | 1 | 1 | 1 | -1 | -1 | 1 | -1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | -1 | 1 | -1 | 2 | 0 | -1 | 0 | 1 | 1 | -1 | -2 | 3 | 0 | -1 | 1 | 0 | 1 | -1 | -1 | -2 | -1 | 0 | 1 | -1 | 0 | 0 | -2 | -3 | -1 | -2 | -7 | -1 | 2 | 2 | -3 | -3 | -2 |
data_0077 | male | 56.17 | asian | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -3.5 | -4 | -5 | -11 | -3 | -1 | -1 | -3 | -3 | -4 | -1 | -10 | -4 | -1 | -1 | -2 | -1 | 0 | -6 | -8 | -8 | -5 | -3 | -1 | 0 | 0 | -5 | -6 | -7 | -3 | -2 | -1 | 0 | -3 | -8 | -4 | -2 | -3 | -2 | -1 | -2 | -2 | -9 | 0 | -4 | -3 | -3 | -1 | -6 | -14 | -15 | -1 | -2 |
data_0078 | female | 80.68 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.96 | -4 | -1 | -1 | -1 | 0 | -1 | -2 | -1 | -2 | 0 | -4 | -1 | -1 | -1 | -2 | -1 | 0 | -3 | -1 | -1 | -1 | -2 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | -2 | 0 | 1 | -2 | -5 | -1 | -2 | 0 | 0 | 0 | -1 | -5 | 0 | -1 | -2 | -2 | -2 | 1 | -1 | -1 | -1 | -3 | 0 |
data_0079 | male | 69.73 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -4.19 | -7 | -23 | -9 | -7 | -7 | -6 | -6 | -4 | -3 | -5 | -6 | -5 | -4 | -3 | -5 | -4 | -3 | -4 | -6 | -7 | -6 | -5 | -3 | -2 | -2 | -5 | -7 | -4 | -4 | -2 | -4 | -5 | -6 | -5 | -6 | -2 | -1 | -2 | -3 | -5 | -4 | -2 | -2 | -1 | -2 | -4 | -1 | -2 | -2 | -6 | -2 | -1 |
data_0080 | female | 51.74 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -5.21 | -13 | -4 | -24 | -9 | -13 | -9 | -9 | -9 | -3 | -4 | -14 | -10 | -9 | -6 | -3 | -3 | -1 | -16 | -5 | -5 | -7 | -9 | -7 | -3 | -1 | -6 | -8 | -5 | -5 | -6 | -4 | -1 | -1 | -4 | -5 | -2 | -2 | -6 | -2 | -2 | -1 | -3 | -1 | -4 | -7 | -1 | 0 | 0 | -5 | -5 | 2 | 4 |
data_0081 | male | 59.49 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -3.67 | 3 | 1 | 1 | 4 | -6 | -4 | 0 | -2 | -2 | 0 | -11 | -5 | -33 | -33 | -4 | 0 | -2 | 0 | -20 | -24 | -25 | -23 | -4 | 1 | 1 | -1 | -4 | 0 | 2 | 0 | 0 | 2 | 1 | -2 | 1 | 3 | 2 | 0 | 0 | 1 | 0 | -1 | 3 | 1 | 2 | 0 | 1 | 1 | 1 | 0 | 1 | -1 |
data_0082 | male | 89.32 | asian | no | 1 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -6.78 | -12 | -23 | -27 | -14 | -7 | -11 | -9 | -5 | -6 | -13 | -7 | -7 | -9 | -9 | -6 | -7 | -7 | -15 | -7 | -7 | -4 | -5 | -6 | -6 | -6 | 1 | -12 | -7 | -5 | -7 | -3 | -4 | -4 | -3 | -10 | -3 | -6 | -4 | -7 | -8 | -8 | -5 | -4 | -3 | -5 | -7 | -8 | -9 | -4 | -1 | -6 | -8 |
data_0083 | female | 71.05 | asian | no | 1 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -4.91 | -2 | -5 | -3 | -2 | -4 | -6 | -3 | -4 | -5 | -6 | -6 | -2 | -3 | -2 | -5 | -7 | -2 | -3 | -11 | -8 | -5 | -4 | -4 | -5 | -2 | -7 | -8 | -4 | -3 | -5 | -6 | -3 | -5 | 1 | -7 | -15 | -3 | -4 | -3 | -4 | -5 | -8 | -8 | -5 | -4 | -6 | -3 | -12 | -3 | -6 | -4 | -10 |
data_0084 | female | 67.37 | white | null | 1 | 0 | 0 | 1 | 0 | 0 | 1 | training | training | -7.62 | 1 | -5 | -6 | -23 | -1 | -4 | -3 | -10 | -15 | -8 | -30 | -1 | -15 | -12 | -22 | -16 | -3 | -10 | -28 | -23 | -25 | -16 | -32 | -3 | -23 | -3 | -1 | 0 | -1 | 0 | -1 | 0 | 0 | 0 | -3 | 1 | -2 | -3 | -3 | -5 | -2 | 1 | 0 | -1 | 0 | -5 | -26 | -3 | 1 | -4 | -3 | -8 |
data_0085 | female | 64.76 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.73 | 5 | 3 | 1 | 1 | 1 | 1 | 2 | 3 | 3 | 4 | -2 | 0 | -1 | 1 | 2 | 2 | 1 | 3 | 4 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 0 | 1 | 1 | -1 | 1 | 1 | -1 | 0 | -1 | 1 | 0 | 0 | -1 | -3 | -2 | 0 | 1 | -1 | 0 | 0 | 0 | 2 | 0 | 1 | 2 | 1 |
data_0086 | male | 65.23 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.46 | 3 | 3 | 1 | 2 | 2 | 2 | 2 | 0 | -2 | -2 | 2 | 1 | 1 | 2 | 0 | -2 | -2 | -1 | -2 | -1 | 1 | 0 | 2 | 1 | 0 | -1 | -4 | 0 | -1 | 1 | 2 | 1 | -3 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | -1 | 0 | -1 | 1 | -1 | 1 | 2 | 1 | 1 | 1 | 1 |
data_0087 | female | 59.45 | black or african american | no | 0 | 0 | 1 | 0 | 0 | 0 | 0 | training | training | 0.53 | 2 | 2 | 1 | 1 | 1 | 0 | 2 | -1 | 1 | 2 | 1 | 0 | 2 | 2 | 1 | 0 | 0 | -2 | -3 | -2 | 1 | 1 | 2 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | -1 | 1 | -2 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | -2 | 0 | -4 | 2 |
data_0088 | female | 57.16 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -11.37 | -2 | -2 | -1 | 3 | 2 | 1 | 1 | -1 | 2 | 3 | 0 | 2 | 2 | 0 | -1 | 0 | -1 | 0 | -1 | -2 | 0 | 0 | 2 | 1 | -2 | 0 | -29 | -32 | -33 | -34 | -12 | 0 | -1 | 0 | -28 | -33 | -34 | -34 | -34 | -33 | -4 | 0 | -28 | -33 | -33 | -21 | -4 | -3 | -17 | -16 | -4 | -10 |
data_0089 | female | 38.87 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -9.91 | -18 | -15 | -13 | -10 | -18 | -9 | -9 | -7 | -7 | -9 | -16 | -6 | -3 | -6 | -7 | -8 | -11 | -7 | -11 | -8 | -6 | -6 | -9 | -7 | -9 | -12 | -23 | -19 | -6 | -7 | -5 | -6 | -6 | -7 | -15 | -9 | -8 | -6 | -4 | -8 | -4 | -12 | -14 | -24 | -19 | -4 | -14 | -9 | -26 | -19 | -16 | -9 |
data_0090 | female | 49.18 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.15 | -3 | -1 | 1 | 1 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | -1 | -1 | 0 | 0 | -1 | 0 | 1 | -2 | 0 | 0 | 0 | -2 | -1 | 0 | -2 | -1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | -3 | -1 | 1 | -1 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 1 | -1 | 3 | 1 | -1 | 1 | -1 |
data_0091 | male | 75.12 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 1.66 | 4 | 1 | 3 | 4 | 3 | 2 | 3 | 2 | 2 | 5 | 4 | 2 | 2 | 3 | 2 | 0 | 2 | 4 | 3 | 1 | 3 | 3 | 1 | 2 | 2 | 0 | 1 | 1 | 1 | 3 | 1 | 2 | 0 | -1 | -1 | 0 | 1 | 1 | 1 | 0 | 1 | 2 | 2 | 0 | 1 | 2 | 2 | 0 | 1 | 2 | 0 | 3 |
data_0092 | female | 65.42 | white | no | 0 | 1 | 1 | 1 | 0 | 0 | 1 | training | training | -0.2 | 1 | 0 | -1 | -2 | 2 | -3 | 0 | 2 | 2 | 1 | -1 | -1 | -1 | -1 | -1 | 0 | -1 | 0 | 0 | 0 | -1 | -1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | -1 | -1 | 0 | 1 | 0 | 0 | -1 | 0 | -2 | 0 | -1 | 1 | 1 | -1 | -2 | -1 | -2 | 2 | 1 | -1 | 0 |
data_0093 | female | 55.96 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -6.44 | -24 | -18 | -14 | -16 | -5 | -7 | -3 | -13 | -3 | -26 | -4 | -3 | -3 | -3 | -14 | -13 | -6 | -18 | 1 | -4 | -4 | -2 | -4 | -2 | -4 | -11 | -3 | -8 | -6 | -4 | -2 | -3 | -4 | -5 | -8 | -4 | -4 | -3 | -6 | -6 | -5 | -6 | -5 | -2 | -5 | -7 | -9 | -9 | -3 | -9 | -11 | -12 |
data_0094 | male | 74.98 | asian | no | 1 | 1 | 1 | 1 | 0 | 0 | 1 | training | training | -7.73 | -18 | -13 | -13 | -17 | -16 | -13 | -12 | -17 | -8 | -11 | -14 | -8 | -11 | -11 | -11 | -10 | -9 | -3 | -18 | -14 | -7 | -5 | -8 | -9 | -16 | -4 | -7 | -8 | -5 | -4 | -4 | -7 | -7 | -4 | -7 | -3 | -2 | -5 | -8 | -6 | -7 | -10 | -2 | -3 | -5 | -5 | -4 | -6 | -3 | -8 | -4 | -11 |
data_0095 | female | 75.88 | white | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -3.68 | -14 | -23 | -9 | -11 | -5 | -4 | -13 | -5 | -1 | -9 | -6 | 0 | 0 | -2 | -8 | -1 | -1 | 1 | -6 | -6 | -3 | -2 | -4 | -5 | -3 | -8 | -8 | -3 | 0 | -1 | -4 | -3 | -1 | -4 | -3 | -1 | -2 | -5 | -2 | -3 | -6 | -7 | -6 | -2 | -4 | -4 | -2 | -1 | -2 | -3 | -3 | -4 |
data_0096 | female | 59.25 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -0.28 | 3 | 1 | -2 | -1 | 4 | 1 | -1 | 0 | 0 | 3 | 1 | -1 | 0 | -1 | 0 | -1 | -2 | -3 | -4 | -3 | -1 | -2 | 0 | 1 | 0 | -1 | 0 | 0 | 0 | -1 | 1 | 0 | -1 | 1 | 0 | -1 | 0 | 1 | 1 | 1 | -1 | 0 | -2 | 1 | -1 | 1 | 1 | -1 | 0 | -5 | -1 | -1 |
data_0097 | female | 60.97 | white | yes | 1 | 0 | 0 | 0 | 0 | 0 | 1 | training | training | -21.36 | -18 | -20 | -29 | -24 | -12 | -13 | -12 | -21 | -13 | -13 | -28 | -19 | -19 | -8 | -13 | -17 | -13 | -14 | -28 | -31 | -22 | -11 | -2 | -4 | -7 | -8 | -29 | -31 | -33 | -34 | -17 | 0 | -14 | 0 | -31 | -33 | -34 | -34 | -34 | -33 | -32 | -13 | -31 | -30 | -33 | -33 | -30 | -28 | -29 | -31 | -31 | -18 |
data_0098 | female | 63.24 | black or african american | no | 1 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | -7.63 | -29 | -29 | -23 | -24 | -23 | -16 | -31 | -16 | -11 | -11 | -16 | -10 | -8 | -11 | -7 | -6 | -6 | -9 | -12 | -8 | -9 | -8 | -10 | -6 | -6 | -3 | -17 | -4 | -6 | -4 | -3 | -2 | 0 | -1 | -5 | -4 | -3 | -4 | -4 | -1 | -2 | -7 | -6 | -5 | -4 | -5 | -1 | -1 | -6 | -4 | -11 | -10 |
data_0099 | female | 86.01 | black or african american | no | 1 | 1 | 1 | 1 | 0 | 0 | 1 | training | training | -12.46 | -15 | -23 | -15 | -23 | -22 | -14 | -25 | -29 | -2 | -6 | -29 | -31 | -29 | -32 | -31 | -7 | -9 | -11 | -27 | -30 | -32 | -33 | -33 | -32 | -7 | -1 | -23 | -17 | -3 | -3 | -1 | 0 | -1 | -4 | -3 | -3 | -3 | -2 | -3 | -3 | -6 | -4 | -2 | -4 | -8 | -6 | -4 | -3 | -5 | -4 | -4 | -1 |
data_0100 | female | 61.27 | white | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | training | training | 0.14 | 0 | 3 | 1 | -2 | 0 | 2 | 2 | 3 | 4 | 3 | -3 | -1 | 1 | 1 | 2 | 3 | 2 | -1 | -1 | -1 | 0 | -1 | 1 | -1 | 1 | 1 | -2 | -3 | 1 | 1 | -1 | -1 | 2 | 2 | -1 | -1 | -1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | -1 | -1 | 0 | -1 | -3 | 0 | -2 | 0 |
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Dataset Card: Harvard-GDP
Dataset Summary
Harvard-GDP (Harvard Glaucoma Detection and Progression) is a multimodal multitask ophthalmology dataset for glaucoma detection and progression forecasting. It is the largest publicly available glaucoma detection dataset with 3D OCT imaging data and the first publicly available glaucoma progression forecasting dataset. The dataset includes detailed demographic annotations (sex, race) to support fairness learning research.
This dataset was introduced at ICCV 2023: Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning.
Dataset Details
Dataset Description
| Field | Value |
|---|---|
| Institution | Department of Ophthalmology, Harvard Medical School |
| Tasks | Glaucoma detection, glaucoma progression forecasting |
| Modality | OCT RNFLT maps, visual field (MD, TDs) |
| Scale | 1,000 patients, 1,000 OCT RNFLT maps |
| Image size | 225 × 225 (RNFLT map) |
| License | CC BY-NC-ND 4.0 |
- Curated by: Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang
- License: CC BY-NC-ND 4.0 — non-commercial research only
- Paper: ICCV 2023
- Contact: harvardophai@gmail.com, harvardairobotics@gmail.com
Data Fields
Each subject is stored as a .npz file (data_0001.npz … data_1000.npz) in the rnflt_maps/ folder:
| Field | Description |
|---|---|
rnflt |
OCT retinal nerve fiber layer thickness (RNFLT) map, size 225 × 225 |
glaucoma |
Glaucomatous status: 0 = non-glaucoma, 1 = glaucoma |
progression |
Vector of 6 progression labels: 0 = non-progression, 1 = progression (first 500 subjects only) |
md |
Mean deviation value of visual field |
tds |
52 total deviation values of visual field |
age |
Patient age |
male |
Gender: 0 = Female, 1 = Male |
race |
Patient race |
hispanic |
Patient ethnicity |
Progression Labels
Progression labels are defined for the first 500 subjects (data_0001 – data_0500) only, using 6 criteria:
| Index | Criterion |
|---|---|
progression[0] |
MD-based |
progression[1] |
VFI-based |
progression[2] |
TD pointwise |
progression[3] |
MD fast |
progression[4] |
MD fast (no p-value cutoff) |
progression[5] |
TD pointwise (no p-value cutoff) |
Uses
Direct Use
- Glaucoma detection benchmarking with 3D OCT imaging data
- Glaucoma progression forecasting (unimodal and multimodal)
- Semi-supervised learning research with limited labeled medical data
- Fairness and demographic disparity analysis in ophthalmic AI
Out-of-Scope Use
Clinical decisions, patient care, or any commercial application. This dataset shall not be used for clinical decisions at any time.
Access
The "Harvard" designation indicates the dataset originates from the Department of Ophthalmology at Harvard Medical School. It does not imply endorsement, sponsorship, or legal responsibility by Harvard University or Harvard Medical School.
Citation
BibTeX:
@inproceedings{luo2023harvard,
title={Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning},
author={Luo, Yan and Shi, Min and Tian, Yu and Elze, Tobias and Wang, Mengyu},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages={20471--20482},
year={2023}
}
APA:
Luo, Y., Shi, M., Tian, Y., Elze, T., & Wang, M. (2023). Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), 20471–20482.
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