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train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 21414 | {"age": 57, "workclass": "Local-gov", "fnlwgt": 44273, "education": "HS-grad", "education-num": 9, "marital-status": "Widowed", "occupation": "Transport-moving", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-State... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 18785 | {"age": 61, "workclass": "Private", "fnlwgt": 146788, "education": "7th-8th", "education-num": 4, "marital-status": "Married-civ-spouse", "occupation": "Transport-moving", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-Sta... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 29811 | {"age": 39, "workclass": "Private", "fnlwgt": 174330, "education": "HS-grad", "education-num": 9, "marital-status": "Separated", "occupation": "Craft-repair", "relationship": "Unmarried", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 34486 | {"age": 35, "workclass": "Private", "fnlwgt": 27408, "education": "Some-college", "education-num": 10, "marital-status": "Never-married", "occupation": "Sales", "relationship": "Not-in-family", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 32162 | {"age": 30, "workclass": "Private", "fnlwgt": 302473, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Adm-clerical", "relationship": "Own-child", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 15313 | {"age": 27, "workclass": "Private", "fnlwgt": 160291, "education": "Some-college", "education-num": 10, "marital-status": "Never-married", "occupation": "Adm-clerical", "relationship": "Unmarried", "race": "Black", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "Germany"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 15176 | {"age": 36, "workclass": "Private", "fnlwgt": 150057, "education": "Bachelors", "education-num": 13, "marital-status": "Married-civ-spouse", "occupation": "Prof-specialty", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 50, "native-country": "United-St... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 45653 | {"age": 42, "workclass": "Private", "fnlwgt": 22831, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Other-service", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-Stat... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 9800 | {"age": 17, "workclass": "Private", "fnlwgt": 147069, "education": "11th", "education-num": 7, "marital-status": "Never-married", "occupation": "Other-service", "relationship": "Own-child", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 16, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 28387 | {"age": 33, "workclass": "State-gov", "fnlwgt": 174171, "education": "Some-college", "education-num": 10, "marital-status": "Separated", "occupation": "Tech-support", "relationship": "Not-in-family", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 12, "native-country": "United-St... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 37795 | {"age": 40, "workclass": "Private", "fnlwgt": 124692, "education": "Bachelors", "education-num": 13, "marital-status": "Married-civ-spouse", "occupation": "Exec-managerial", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-S... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 38572 | {"age": 35, "workclass": "Private", "fnlwgt": 188972, "education": "HS-grad", "education-num": 9, "marital-status": "Widowed", "occupation": "Exec-managerial", "relationship": "Unmarried", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 30, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 38457 | {"age": 22, "workclass": "Private", "fnlwgt": 137591, "education": "Some-college", "education-num": 10, "marital-status": "Never-married", "occupation": "Sales", "relationship": "Own-child", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 35, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 24057 | {"age": 27, "workclass": "Private", "fnlwgt": 109997, "education": "HS-grad", "education-num": 9, "marital-status": "Divorced", "occupation": "Other-service", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 8688 | {"age": 68, "workclass": "Self-emp-not-inc", "fnlwgt": 150904, "education": "HS-grad", "education-num": 9, "marital-status": "Widowed", "occupation": "Craft-repair", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 35, "native-country": "United-S... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 33515 | {"age": 57, "workclass": "Private", "fnlwgt": 266189, "education": "HS-grad", "education-num": 9, "marital-status": "Divorced", "occupation": "Adm-clerical", "relationship": "Unmarried", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 42, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 47243 | {"age": 35, "workclass": "Private", "fnlwgt": 301862, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Craft-repair", "relationship": "Unmarried", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 50, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 45037 | {"age": 25, "workclass": "Private", "fnlwgt": 167031, "education": "Some-college", "education-num": 10, "marital-status": "Never-married", "occupation": "Other-service", "relationship": "Other-relative", "race": "Other", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 25, "native-country": "Ecu... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 29415 | {"age": 41, "workclass": "State-gov", "fnlwgt": 180272, "education": "Masters", "education-num": 14, "marital-status": "Never-married", "occupation": "Prof-specialty", "relationship": "Own-child", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 35, "native-country": "United-Sta... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 32048 | {"age": 35, "workclass": "Private", "fnlwgt": 81232, "education": "Bachelors", "education-num": 13, "marital-status": "Married-civ-spouse", "occupation": "Sales", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 15024, "capital-loss": 0, "hours-per-week": 50, "native-country": "United-States"} | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 30669 | {"age": 21, "workclass": "Private", "fnlwgt": 179720, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Other-service", "relationship": "Other-relative", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 30, "native-country": "United-St... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 26148 | {"age": 37, "workclass": "Private", "fnlwgt": 227545, "education": "Some-college", "education-num": 10, "marital-status": "Married-civ-spouse", "occupation": "Sales", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 44, "native-country": "United-States"} | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 47537 | {"age": 52, "workclass": "Self-emp-not-inc", "fnlwgt": 34973, "education": "HS-grad", "education-num": 9, "marital-status": "Married-civ-spouse", "occupation": "Farming-fishing", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 1887, "hours-per-week": 60, "native-country": "... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 40160 | {"age": 38, "workclass": "State-gov", "fnlwgt": 188303, "education": "Some-college", "education-num": 10, "marital-status": "Married-civ-spouse", "occupation": "Protective-serv", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 7688, "capital-loss": 0, "hours-per-week": 40, "native-country": "... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 6403 | {"age": 46, "workclass": "Private", "fnlwgt": 411595, "education": "5th-6th", "education-num": 3, "marital-status": "Widowed", "occupation": "Machine-op-inspct", "relationship": "Unmarried", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "Mexico"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 27209 | {"age": 23, "workclass": "Private", "fnlwgt": 113466, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Craft-repair", "relationship": "Not-in-family", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 10348 | {"age": 58, "workclass": "Private", "fnlwgt": 141379, "education": "HS-grad", "education-num": 9, "marital-status": "Divorced", "occupation": "Adm-clerical", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 42, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 3280 | {"age": 18, "workclass": "Private", "fnlwgt": 122988, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Handlers-cleaners", "relationship": "Own-child", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 20, "native-country": "United-State... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 39579 | {"age": 21, "workclass": "Private", "fnlwgt": 83704, "education": "12th", "education-num": 8, "marital-status": "Married-civ-spouse", "occupation": "Craft-repair", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 23484 | {"age": 40, "workclass": "Self-emp-not-inc", "fnlwgt": 238574, "education": "Prof-school", "education-num": 15, "marital-status": "Married-civ-spouse", "occupation": "Prof-specialty", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 55, "native-country":... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 25727 | {"age": 28, "workclass": "Private", "fnlwgt": 398220, "education": "5th-6th", "education-num": 3, "marital-status": "Never-married", "occupation": "Craft-repair", "relationship": "Other-relative", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "Mexico"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 39598 | {"age": 33, "workclass": "Private", "fnlwgt": 246038, "education": "Bachelors", "education-num": 13, "marital-status": "Married-civ-spouse", "occupation": "Prof-specialty", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-St... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 6742 | {"age": 41, "workclass": "Private", "fnlwgt": 160893, "education": "Assoc-acdm", "education-num": 12, "marital-status": "Never-married", "occupation": "Adm-clerical", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 45, "native-country": "United-... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 32508 | {"age": 54, "workclass": "Private", "fnlwgt": 210736, "education": "HS-grad", "education-num": 9, "marital-status": "Married-civ-spouse", "occupation": "Craft-repair", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 6255 | {"age": 40, "workclass": "Self-emp-not-inc", "fnlwgt": 145441, "education": "Some-college", "education-num": 10, "marital-status": "Divorced", "occupation": "Exec-managerial", "relationship": "Unmarried", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 30, "native-country": "Unit... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 47661 | {"age": 47, "workclass": "Private", "fnlwgt": 252079, "education": "Bachelors", "education-num": 13, "marital-status": "Married-civ-spouse", "occupation": "Machine-op-inspct", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 7688, "capital-loss": 0, "hours-per-week": 44, "native-country": "Uni... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 13808 | {"age": 49, "workclass": "Private", "fnlwgt": 118520, "education": "HS-grad", "education-num": 9, "marital-status": "Divorced", "occupation": "Adm-clerical", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 45, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 22639 | {"age": 45, "workclass": "Local-gov", "fnlwgt": 148222, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Adm-clerical", "relationship": "Not-in-family", "race": "Black", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-St... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 42663 | {"age": 47, "workclass": "Private", "fnlwgt": 431515, "education": "Assoc-voc", "education-num": 11, "marital-status": "Married-civ-spouse", "occupation": "Craft-repair", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-Stat... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 18148 | {"age": 36, "workclass": "Federal-gov", "fnlwgt": 128884, "education": "HS-grad", "education-num": 9, "marital-status": "Divorced", "occupation": "Adm-clerical", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 48, "native-country": "United-State... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 21762 | {"age": 19, "workclass": "Self-emp-not-inc", "fnlwgt": 30800, "education": "10th", "education-num": 6, "marital-status": "Married-spouse-absent", "occupation": "Adm-clerical", "relationship": "Unmarried", "race": "Amer-Indian-Eskimo", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 20071 | {"age": 47, "workclass": "Private", "fnlwgt": 140664, "education": "Bachelors", "education-num": 13, "marital-status": "Divorced", "occupation": "Sales", "relationship": "Not-in-family", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 45, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 39213 | {"age": 23, "workclass": "Private", "fnlwgt": 520759, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Other-service", "relationship": "Not-in-family", "race": "Black", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 30, "native-country": "United-State... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 28662 | {"age": 44, "workclass": "State-gov", "fnlwgt": 691903, "education": "Masters", "education-num": 14, "marital-status": "Married-civ-spouse", "occupation": "Prof-specialty", "relationship": "Husband", "race": "Black", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 60, "native-country": "United-St... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 7234 | {"age": 40, "workclass": "Self-emp-inc", "fnlwgt": 115411, "education": "Assoc-acdm", "education-num": 12, "marital-status": "Married-civ-spouse", "occupation": "Exec-managerial", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 65, "native-country": "Un... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 42284 | {"age": 33, "workclass": "Private", "fnlwgt": 341187, "education": "Bachelors", "education-num": 13, "marital-status": "Married-civ-spouse", "occupation": "Exec-managerial", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 50, "native-country": "United-S... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 46692 | {"age": 29, "workclass": "Private", "fnlwgt": 327779, "education": "Some-college", "education-num": 10, "marital-status": "Married-civ-spouse", "occupation": "Handlers-cleaners", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 20, "native-country": "Uni... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 48236 | {"age": 46, "workclass": "Local-gov", "fnlwgt": 267952, "education": "Assoc-voc", "education-num": 11, "marital-status": "Divorced", "occupation": "Exec-managerial", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 36, "native-country": "United-S... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 42099 | {"age": 45, "workclass": "Local-gov", "fnlwgt": 235431, "education": "HS-grad", "education-num": 9, "marital-status": "Separated", "occupation": "Other-service", "relationship": "Unmarried", "race": "Black", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 20145 | {"age": 50, "workclass": "State-gov", "fnlwgt": 229272, "education": "HS-grad", "education-num": 9, "marital-status": "Married-civ-spouse", "occupation": "Craft-repair", "relationship": "Husband", "race": "Black", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-State... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 23205 | {"age": 38, "workclass": "Private", "fnlwgt": 119177, "education": "Bachelors", "education-num": 13, "marital-status": "Married-civ-spouse", "occupation": "Sales", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 45406 | {"age": 24, "workclass": "Private", "fnlwgt": 143766, "education": "Some-college", "education-num": 10, "marital-status": "Never-married", "occupation": "Machine-op-inspct", "relationship": "Own-child", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 55, "native-country": "United... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 38810 | {"age": 22, "workclass": "Private", "fnlwgt": 185452, "education": "Bachelors", "education-num": 13, "marital-status": "Never-married", "occupation": "Exec-managerial", "relationship": "Own-child", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-St... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 34749 | {"age": 34, "workclass": "Private", "fnlwgt": 209691, "education": "Assoc-voc", "education-num": 11, "marital-status": "Married-civ-spouse", "occupation": "Prof-specialty", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 4386, "capital-loss": 0, "hours-per-week": 50, "native-country": "United... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 24519 | {"age": 62, "workclass": "Private", "fnlwgt": 113080, "education": "7th-8th", "education-num": 4, "marital-status": "Divorced", "occupation": "Craft-repair", "relationship": "Own-child", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 17704 | {"age": 41, "workclass": "Private", "fnlwgt": 184102, "education": "11th", "education-num": 7, "marital-status": "Divorced", "occupation": "Other-service", "relationship": "Not-in-family", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 11716 | {"age": 25, "workclass": "Private", "fnlwgt": 161631, "education": "Some-college", "education-num": 10, "marital-status": "Married-civ-spouse", "occupation": "Craft-repair", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-S... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 42725 | {"age": 43, "workclass": "Private", "fnlwgt": 76460, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Adm-clerical", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-State... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 609 | {"age": 33, "workclass": "Local-gov", "fnlwgt": 217304, "education": "Bachelors", "education-num": 13, "marital-status": "Never-married", "occupation": "Adm-clerical", "relationship": "Not-in-family", "race": "Black", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-S... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 11823 | {"age": 35, "workclass": "Private", "fnlwgt": 282753, "education": "Assoc-voc", "education-num": 11, "marital-status": "Married-civ-spouse", "occupation": "Craft-repair", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-Stat... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 44599 | {"age": 38, "workclass": "Self-emp-not-inc", "fnlwgt": 194534, "education": "Masters", "education-num": 14, "marital-status": "Married-civ-spouse", "occupation": "Prof-specialty", "relationship": "Husband", "race": "Black", "sex": "Male", "capital-gain": 99999, "capital-loss": 0, "hours-per-week": 60, "native-country":... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 39633 | {"age": 28, "workclass": "Private", "fnlwgt": 207513, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Sales", "relationship": "Own-child", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 48, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 17088 | {"age": 33, "workclass": "Private", "fnlwgt": 169879, "education": "Bachelors", "education-num": 13, "marital-status": "Married-civ-spouse", "occupation": "Prof-specialty", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 3103, "capital-loss": 0, "hours-per-week": 47, "native-country": "United... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 20270 | {"age": 22, "workclass": "Private", "fnlwgt": 191324, "education": "Some-college", "education-num": 10, "marital-status": "Never-married", "occupation": "Protective-serv", "relationship": "Own-child", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 25, "native-country": "United-S... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 42112 | {"age": 31, "workclass": "Private", "fnlwgt": 147284, "education": "Doctorate", "education-num": 16, "marital-status": "Married-civ-spouse", "occupation": "Prof-specialty", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 1977, "hours-per-week": 99, "native-country": "United... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 4484 | {"age": 18, "workclass": "Private", "fnlwgt": 217942, "education": "11th", "education-num": 7, "marital-status": "Never-married", "occupation": "Other-service", "relationship": "Own-child", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 24, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 34474 | {"age": 52, "workclass": "Private", "fnlwgt": 110748, "education": "Masters", "education-num": 14, "marital-status": "Married-civ-spouse", "occupation": "Prof-specialty", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 50, "native-country": "United-Stat... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 20488 | {"age": 64, "workclass": "Private", "fnlwgt": 321166, "education": "Bachelors", "education-num": 13, "marital-status": "Divorced", "occupation": "Sales", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 5, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 40272 | {"age": 62, "workclass": "Private", "fnlwgt": 345780, "education": "Assoc-voc", "education-num": 11, "marital-status": "Divorced", "occupation": "Other-service", "relationship": "Not-in-family", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 37771 | {"age": 19, "workclass": "Private", "fnlwgt": 146679, "education": "Some-college", "education-num": 10, "marital-status": "Never-married", "occupation": "Exec-managerial", "relationship": "Own-child", "race": "Black", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 30, "native-country": "United-S... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 44934 | {"age": 22, "workclass": "Private", "fnlwgt": 315974, "education": "Some-college", "education-num": 10, "marital-status": "Never-married", "occupation": "Sales", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-State... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 15970 | {"age": 38, "workclass": "Federal-gov", "fnlwgt": 455379, "education": "12th", "education-num": 8, "marital-status": "Married-civ-spouse", "occupation": "Protective-serv", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 56, "native-country": "United-Sta... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 28750 | {"age": 27, "workclass": "Private", "fnlwgt": 256764, "education": "Assoc-acdm", "education-num": 12, "marital-status": "Never-married", "occupation": "Sales", "relationship": "Not-in-family", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 33876 | {"age": 33, "workclass": "Private", "fnlwgt": 301867, "education": "Some-college", "education-num": 10, "marital-status": "Never-married", "occupation": "Adm-clerical", "relationship": "Unmarried", "race": "Asian-Pac-Islander", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 35, "native-country... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 12740 | {"age": 22, "workclass": "Private", "fnlwgt": 193190, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Other-service", "relationship": "Own-child", "race": "Black", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 3797 | {"age": 39, "workclass": "Private", "fnlwgt": 346478, "education": "HS-grad", "education-num": 9, "marital-status": "Married-civ-spouse", "occupation": "Sales", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 7814 | {"age": 36, "workclass": "Private", "fnlwgt": 120204, "education": "HS-grad", "education-num": 9, "marital-status": "Divorced", "occupation": "Tech-support", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 12311 | {"age": 24, "workclass": "Private", "fnlwgt": 88824, "education": "Bachelors", "education-num": 13, "marital-status": "Never-married", "occupation": "Tech-support", "relationship": "Not-in-family", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-Stat... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 12899 | {"age": 44, "workclass": "Local-gov", "fnlwgt": 185267, "education": "Bachelors", "education-num": 13, "marital-status": "Married-civ-spouse", "occupation": "Prof-specialty", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 1902, "hours-per-week": 40, "native-country": "Unit... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 22634 | {"age": 29, "workclass": "Private", "fnlwgt": 301031, "education": "HS-grad", "education-num": 9, "marital-status": "Married-civ-spouse", "occupation": "Transport-moving", "relationship": "Husband", "race": "Black", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-Sta... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 14472 | {"age": 23, "workclass": "Private", "fnlwgt": 114939, "education": "Some-college", "education-num": 10, "marital-status": "Never-married", "occupation": "Sales", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 38, "native-country": "United-State... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 11797 | {"age": 32, "workclass": "Private", "fnlwgt": 264554, "education": "Some-college", "education-num": 10, "marital-status": "Married-civ-spouse", "occupation": "Tech-support", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-S... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 40892 | {"age": 46, "workclass": "Private", "fnlwgt": 191204, "education": "Assoc-voc", "education-num": 11, "marital-status": "Never-married", "occupation": "Exec-managerial", "relationship": "Own-child", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-St... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 26763 | {"age": 42, "workclass": "Self-emp-inc", "fnlwgt": 130126, "education": "Bachelors", "education-num": 13, "marital-status": "Married-civ-spouse", "occupation": "Prof-specialty", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 1977, "hours-per-week": 40, "native-country": "U... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 6353 | {"age": 37, "workclass": "Private", "fnlwgt": 318168, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Machine-op-inspct", "relationship": "Not-in-family", "race": "Black", "sex": "Male", "capital-gain": 1055, "capital-loss": 0, "hours-per-week": 20, "native-country": "Unite... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 39467 | {"age": 24, "workclass": "Private", "fnlwgt": 62952, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Craft-repair", "relationship": "Own-child", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 25490 | {"age": 22, "workclass": "Private", "fnlwgt": 318915, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Other-service", "relationship": "Unmarried", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 8276 | {"age": 48, "workclass": "Private", "fnlwgt": 166863, "education": "Masters", "education-num": 14, "marital-status": "Married-civ-spouse", "occupation": "Exec-managerial", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-Sta... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 9743 | {"age": 38, "workclass": "Private", "fnlwgt": 35890, "education": "HS-grad", "education-num": 9, "marital-status": "Married-civ-spouse", "occupation": "Transport-moving", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-Stat... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 24699 | {"age": 31, "workclass": "Private", "fnlwgt": 369825, "education": "Bachelors", "education-num": 13, "marital-status": "Never-married", "occupation": "Sales", "relationship": "Not-in-family", "race": "White", "sex": "Male", "capital-gain": 4101, "capital-loss": 0, "hours-per-week": 50, "native-country": "United-States"... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 24799 | {"age": 29, "workclass": "Private", "fnlwgt": 229729, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Transport-moving", "relationship": "Not-in-family", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-St... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 36908 | {"age": 34, "workclass": "Private", "fnlwgt": 125279, "education": "HS-grad", "education-num": 9, "marital-status": "Married-civ-spouse", "occupation": "Transport-moving", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-Sta... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 42736 | {"age": 29, "workclass": "Private", "fnlwgt": 202878, "education": "7th-8th", "education-num": 4, "marital-status": "Married-civ-spouse", "occupation": "Farming-fishing", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 2042, "hours-per-week": 40, "native-country": "United-S... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 1028 | {"age": 27, "workclass": "Private", "fnlwgt": 216479, "education": "Bachelors", "education-num": 13, "marital-status": "Never-married", "occupation": "Sales", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 42694 | {"age": 23, "workclass": "Private", "fnlwgt": 45713, "education": "Some-college", "education-num": 10, "marital-status": "Never-married", "occupation": "Craft-repair", "relationship": "Other-relative", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 6882 | {"age": 29, "workclass": "Private", "fnlwgt": 132675, "education": "11th", "education-num": 7, "marital-status": "Separated", "occupation": "Other-service", "relationship": "Own-child", "race": "Black", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 4618 | {"age": 18, "workclass": "Local-gov", "fnlwgt": 28357, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Adm-clerical", "relationship": "Own-child", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 40, "native-country": "United-States"... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 20015 | {"age": 18, "workclass": "Private", "fnlwgt": 148644, "education": "HS-grad", "education-num": 9, "marital-status": "Never-married", "occupation": "Sales", "relationship": "Own-child", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 28, "native-country": "United-States"} | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be less than or equal to 50K. Which input features were most responsible for this prediction? | 9857 | {"age": 57, "workclass": "Self-emp-not-inc", "fnlwgt": 200316, "education": "7th-8th", "education-num": 4, "marital-status": "Married-civ-spouse", "occupation": "Craft-repair", "relationship": "Husband", "race": "White", "sex": "Male", "capital-gain": 0, "capital-loss": 0, "hours-per-week": 50, "native-country": "Unite... | {"value": "<=50K", "label": "less than or equal to 50K"} | {"value": "<=50K", "label": "less than or equal to 50K"} | |||||||
train/tabular/adult_2layernn_q1.json | tabular | Adult Census | TwoLayerNN,TabNN | 1 | Which part of the input was most responsible for the model’s prediction? | The model predicted the individual's income to be greater than 50K. Which input features were most responsible for this prediction? | 48592 | {"age": 54, "workclass": "Private", "fnlwgt": 161691, "education": "Masters", "education-num": 14, "marital-status": "Divorced", "occupation": "Prof-specialty", "relationship": "Not-in-family", "race": "White", "sex": "Female", "capital-gain": 0, "capital-loss": 2559, "hours-per-week": 40, "native-country": "United-Sta... | {"value": ">50K", "label": "greater than 50K"} | {"value": ">50K", "label": "greater than 50K"} |
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