Model Card for None

Model Card for None

Model Details

Owners

Model Cards Team, model-cards@google.com

Considerations

Ethical Considerations

Datasets

counts | Age
counts | Capital-Gain
counts | Capital-Loss
counts | Country
counts | Education
counts | Education-Num
counts | Hours-per-week
counts | Marital-Status
counts | Occupation
counts | Over-50K
counts | Race
counts | Relationship
counts | Sex
counts | Workclass
counts | fnlwgt
counts | Country
counts | Education
counts | Marital-Status
counts | Occupation
counts | Race
counts | Relationship
counts | Sex
counts | Workclass
counts | Age
counts | Capital-Gain
counts | Capital-Loss
counts | Education-Num
counts | Hours-per-week
counts | Over-50K
counts | fnlwgt

Quantitative Analysis

Performance Metrics
NameValue
binary_accuracy, Race_ Amer-Indian-Eskimo_X_Sex_ Male 0.927536231884058 (None, None)
loss, Race_ Amer-Indian-Eskimo_X_Sex_ Male 0.318501740694046 (None, None)
example_count, Race_ Amer-Indian-Eskimo_X_Sex_ Male 69.0 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Male 0.625 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Male 0.375 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Male 1.0 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Male 0.043478260869565216 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Male 0.9565217391304348 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Male 0.07575757575757576 (None, None)
binary_accuracy, Sex_ Male 0.7583845723868082 (None, None)
loss, Sex_ Male 0.510524570941925 (None, None)
example_count, Sex_ Male 7156.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Sex_ Male 0.027010683329973795 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Sex_ Male 0.7266514806378133 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Sex_ Male 0.2733485193621868 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Sex_ Male 0.9729893166700262 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Sex_ Male 0.10257126886528788 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Sex_ Male 0.8974287311347121 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Sex_ Male 0.18256130790190736 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Sex_ Male 0.24836499532855807 (None, None)
binary_accuracy 0.8080779944289693 (None, None)
loss 0.43835365772247314 (None, None)
example_count 10770.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5 0.019951040391676868 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5 0.7323076923076923 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5 0.2676923076923077 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5 0.9800489596083232 (None, None)
fairness_indicators_metrics/positive_rate@0.5 0.0797585886722377 (None, None)
fairness_indicators_metrics/negative_rate@0.5 0.9202414113277623 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5 0.18975552968568102 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5 0.19210977701543738 (None, None)
binary_accuracy, Race_ White 0.7976319791440365 (None, None)
loss, Race_ White 0.4528079330921173 (None, None)
example_count, Race_ White 9206.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ White 0.021437946623887996 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ White 0.7305236270753512 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ White 0.26947637292464877 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ White 0.978562053376112 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ White 0.08472735172713448 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ White 0.9152726482728655 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ White 0.18846153846153846 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ White 0.20365535248041775 (None, None)
binary_accuracy, Race_ White_X_Sex_ Male 0.7501590330788804 (None, None)
loss, Race_ White_X_Sex_ Male 0.5205867886543274 (None, None)
example_count, Race_ White_X_Sex_ Male 6288.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ White_X_Sex_ Male 0.028211704359990673 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ White_X_Sex_ Male 0.7253626813406704 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ White_X_Sex_ Male 0.27463731865932967 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ White_X_Sex_ Male 0.9717882956400093 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ White_X_Sex_ Male 0.10655216284987278 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ White_X_Sex_ Male 0.8934478371501272 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ White_X_Sex_ Male 0.18059701492537314 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ White_X_Sex_ Male 0.2580989676041296 (None, None)
binary_accuracy, Race_ White_X_Sex_ Female 0.8999314599040439 (None, None)
loss, Race_ White_X_Sex_ Female 0.3067510724067688 (None, None)
example_count, Race_ White_X_Sex_ Female 2918.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ White_X_Sex_ Female 0.010124610591900311 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ White_X_Sex_ Female 0.76 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ White_X_Sex_ Female 0.24 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ White_X_Sex_ Female 0.9898753894080997 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ White_X_Sex_ Female 0.03769705277587389 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ White_X_Sex_ Female 0.9623029472241261 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ White_X_Sex_ Female 0.23636363636363636 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ White_X_Sex_ Female 0.09472934472934473 (None, None)
binary_accuracy, Race_ Black_X_Sex_ Male 0.8333333333333334 (None, None)
loss, Race_ Black_X_Sex_ Male 0.42823582887649536 (None, None)
example_count, Race_ Black_X_Sex_ Male 522.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ Black_X_Sex_ Male 0.012077294685990338 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Black_X_Sex_ Male 0.7592592592592593 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ Black_X_Sex_ Male 0.24074074074074073 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Black_X_Sex_ Male 0.9879227053140096 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Black_X_Sex_ Male 0.05938697318007663 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Black_X_Sex_ Male 0.9406130268199234 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ Black_X_Sex_ Male 0.16129032258064516 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Black_X_Sex_ Male 0.1670061099796334 (None, None)
binary_accuracy, Race_ Other 0.9340659340659341 (None, None)
loss, Race_ Other 0.26453760266304016 (None, None)
example_count, Race_ Other 91.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ Other 0.012195121951219513 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Other 0.5555555555555556 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ Other 0.4444444444444444 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Other 0.9878048780487805 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Other 0.054945054945054944 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Other 0.945054945054945 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ Other 0.2 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Other 0.05813953488372093 (None, None)
binary_accuracy, Sex_ Female 0.9064748201438849 (None, None)
loss, Sex_ Female 0.2954496145248413 (None, None)
example_count, Sex_ Female 3614.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Sex_ Female 0.009037083203490184 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Sex_ Female 0.762962962962963 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Sex_ Female 0.23703703703703705 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Sex_ Female 0.9909629167965098 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Sex_ Female 0.034587714443829555 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Sex_ Female 0.9654122855561704 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Sex_ Female 0.232 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Sex_ Female 0.0885640584694755 (None, None)
binary_accuracy, Race_ Black_X_Sex_ Female 0.944 (None, None)
loss, Race_ Black_X_Sex_ Female 0.22781124711036682 (None, None)
example_count, Race_ Black_X_Sex_ Female 500.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ Black_X_Sex_ Female 0.004282655246252677 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Black_X_Sex_ Female 0.7878787878787878 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ Black_X_Sex_ Female 0.21212121212121213 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Black_X_Sex_ Female 0.9957173447537473 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Black_X_Sex_ Female 0.018 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Black_X_Sex_ Female 0.982 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ Black_X_Sex_ Female 0.2222222222222222 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Black_X_Sex_ Female 0.05295315682281059 (None, None)
binary_accuracy, Race_ Other_X_Sex_ Female 0.9722222222222222 (None, None)
loss, Race_ Other_X_Sex_ Female 0.18923574686050415 (None, None)
example_count, Race_ Other_X_Sex_ Female 36.0 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Other_X_Sex_ Female 0.3333333333333333 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ Other_X_Sex_ Female 0.6666666666666666 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Other_X_Sex_ Female 1.0 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Other_X_Sex_ Female 0.05555555555555555 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Other_X_Sex_ Female 0.9444444444444444 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Other_X_Sex_ Female 0.029411764705882353 (None, None)
binary_accuracy, Race_ Asian-Pac-Islander 0.7877906976744186 (None, None)
loss, Race_ Asian-Pac-Islander 0.45436933636665344 (None, None)
example_count, Race_ Asian-Pac-Islander 344.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ Asian-Pac-Islander 0.027450980392156862 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Asian-Pac-Islander 0.7415730337078652 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ Asian-Pac-Islander 0.25842696629213485 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Asian-Pac-Islander 0.9725490196078431 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Asian-Pac-Islander 0.0872093023255814 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Asian-Pac-Islander 0.9127906976744186 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ Asian-Pac-Islander 0.23333333333333334 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Asian-Pac-Islander 0.21019108280254778 (None, None)
binary_accuracy, Race_ Black 0.8874755381604696 (None, None)
loss, Race_ Black 0.3301807641983032 (None, None)
example_count, Race_ Black 1022.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ Black 0.007945516458569807 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Black 0.7659574468085106 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ Black 0.23404255319148937 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Black 0.9920544835414302 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Black 0.03913894324853229 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Black 0.9608610567514677 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ Black 0.175 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Black 0.109979633401222 (None, None)
binary_accuracy, Race_ Asian-Pac-Islander_X_Sex_ Male 0.7252252252252253 (None, None)
loss, Race_ Asian-Pac-Islander_X_Sex_ Male 0.5274245142936707 (None, None)
example_count, Race_ Asian-Pac-Islander_X_Sex_ Male 222.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Male 0.0472972972972973 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Male 0.7297297297297297 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Male 0.2702702702702703 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Male 0.9527027027027027 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Male 0.12162162162162163 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Male 0.8783783783783784 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Male 0.25925925925925924 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Male 0.27692307692307694 (None, None)
binary_accuracy, Race_ Other_X_Sex_ Male 0.9090909090909091 (None, None)
loss, Race_ Other_X_Sex_ Male 0.3138260245323181 (None, None)
example_count, Race_ Other_X_Sex_ Male 55.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ Other_X_Sex_ Male 0.02040816326530612 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Other_X_Sex_ Male 0.6666666666666666 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ Other_X_Sex_ Male 0.3333333333333333 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Other_X_Sex_ Male 0.9795918367346939 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Other_X_Sex_ Male 0.05454545454545454 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Other_X_Sex_ Male 0.9454545454545454 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ Other_X_Sex_ Male 0.3333333333333333 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Other_X_Sex_ Male 0.07692307692307693 (None, None)
binary_accuracy, Race_ Amer-Indian-Eskimo_X_Sex_ Female 0.868421052631579 (None, None)
loss, Race_ Amer-Indian-Eskimo_X_Sex_ Female 0.3347950577735901 (None, None)
example_count, Race_ Amer-Indian-Eskimo_X_Sex_ Female 38.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Female 0.029411764705882353 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Female 1.0 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Female 0.9705882352941176 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Female 0.02631578947368421 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Female 0.9736842105263158 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Female 1.0 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Amer-Indian-Eskimo_X_Sex_ Female 0.10810810810810811 (None, None)
binary_accuracy, Race_ Asian-Pac-Islander_X_Sex_ Female 0.9016393442622951 (None, None)
loss, Race_ Asian-Pac-Islander_X_Sex_ Female 0.3214329183101654 (None, None)
example_count, Race_ Asian-Pac-Islander_X_Sex_ Female 122.0 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Female 0.8 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Female 0.2 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Female 1.0 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Female 0.02459016393442623 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Female 0.9754098360655737 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Asian-Pac-Islander_X_Sex_ Female 0.10084033613445378 (None, None)
binary_accuracy, Race_ Amer-Indian-Eskimo 0.9065420560747663 (None, None)
loss, Race_ Amer-Indian-Eskimo 0.32428810000419617 (None, None)
example_count, Race_ Amer-Indian-Eskimo 107.0 (None, None)
fairness_indicators_metrics/false_positive_rate@0.5, Race_ Amer-Indian-Eskimo 0.010526315789473684 (None, None)
fairness_indicators_metrics/false_negative_rate@0.5, Race_ Amer-Indian-Eskimo 0.75 (None, None)
fairness_indicators_metrics/true_positive_rate@0.5, Race_ Amer-Indian-Eskimo 0.25 (None, None)
fairness_indicators_metrics/true_negative_rate@0.5, Race_ Amer-Indian-Eskimo 0.9894736842105263 (None, None)
fairness_indicators_metrics/positive_rate@0.5, Race_ Amer-Indian-Eskimo 0.037383177570093455 (None, None)
fairness_indicators_metrics/negative_rate@0.5, Race_ Amer-Indian-Eskimo 0.9626168224299065 (None, None)
fairness_indicators_metrics/false_discovery_rate@0.5, Race_ Amer-Indian-Eskimo 0.25 (None, None)
fairness_indicators_metrics/false_omission_rate@0.5, Race_ Amer-Indian-Eskimo 0.08737864077669903 (None, None)
None
fairness_indicators_metrics/false_discovery_rate@0.5 | Sex
fairness_indicators_metrics/false_discovery_rate@0.5 | Race, Sex
fairness_indicators_metrics/false_discovery_rate@0.5 | Race
fairness_indicators_metrics/false_positive_rate@0.5 | Sex
fairness_indicators_metrics/false_positive_rate@0.5 | Race, Sex
fairness_indicators_metrics/false_positive_rate@0.5 | Race
fairness_indicators_metrics/false_negative_rate@0.5 | Sex
fairness_indicators_metrics/false_negative_rate@0.5 | Race, Sex
fairness_indicators_metrics/false_negative_rate@0.5 | Race
fairness_indicators_metrics/negative_rate@0.5 | Sex
fairness_indicators_metrics/negative_rate@0.5 | Race, Sex
fairness_indicators_metrics/negative_rate@0.5 | Race
fairness_indicators_metrics/positive_rate@0.5 | Sex
fairness_indicators_metrics/positive_rate@0.5 | Race, Sex
fairness_indicators_metrics/positive_rate@0.5 | Race
fairness_indicators_metrics/false_omission_rate@0.5 | Sex
fairness_indicators_metrics/false_omission_rate@0.5 | Race, Sex