---
{}
---
# UCI Adult Data Analysis model using Tensorflow

**Version:** 0.1

**Short Description:** UCI Adult Data analysis using Tensorflow for demonstration of Patra Model Cards.

**Full Description:** We have trained a ML model using the tensorflow framework to predict income for the UCI Adult Dataset. We leverage this data to run the Patra model cards to capture metadata about the model as well as fairness and explainability metrics.

**Keywords:** uci adult, tensorflow, explainability, fairness, patra

**Author:** Your Name

**Input Type:** Tabular

**Category:** classification

**Foundational Model:** None

**Input Data:** https://archive.ics.uci.edu/ml/datasets/adult

**Output Data:** https://github.iu.edu/d2i/dockerhub/tensorflow/adult_modelv01

## AI Model

**Name:** Income prediction tensorflow model

**Version:** 0.1

**Description:** Census classification problem using TensorFlow Neural Network using the UCI Adult Dataset

**Owner:** Your Name or Organization

**Location:** https://example.com/path-to-model

**License:** BSD-3 Clause

**Framework:** tensorflow

**Model Type:** dnn

**Test Accuracy:** 0.7919545769691467

### Model Structure

```json
{
    "module": "keras",
    "class_name": "Sequential",
    "config": {
        "name": "sequential",
        "trainable": true,
        "dtype": {
            "module": "keras",
            "class_name": "DTypePolicy",
            "config": {
                "name": "float32"
            }
        },
        "layers": [
            {
                "module": "keras.layers",
                "class_name": "InputLayer",
                "config": {
                    "batch_shape": [
                        100
                    ],
                    "dtype": "float32",
                    "sparse": false,
                    "name": "input_layer"
                }
            },
            {
                "module": "keras.layers",
                "class_name": "Dense",
                "config": {
                    "name": "dense",
                    "trainable": true,
                    "dtype": {
                        "module": "keras",
                        "class_name": "DTypePolicy",
                        "config": {
                            "name": "float32"
                        }
                    },
                    "units": 64,
                    "activation": "relu",
                    "use_bias": true,
                    "kernel_initializer": {
                        "module": "keras.initializers",
                        "class_name": "GlorotUniform",
                        "config": {}
                    },
                    "bias_initializer": {
                        "module": "keras.initializers",
                        "class_name": "Zeros",
                        "config": {}
                    }
                },
                "build_config": {
                    "input_shape": [
                        100
                    ]
                }
            },
            {
                "module": "keras.layers",
                "class_name": "Dense",
                "config": {
                    "name": "dense_1",
                    "trainable": true,
                    "dtype": {
                        "module": "keras",
                        "class_name": "DTypePolicy",
                        "config": {
                            "name": "float32"
                        }
                    },
                    "units": 128,
                    "activation": "relu",
                    "use_bias": true,
                    "kernel_initializer": {
                        "module": "keras.initializers",
                        "class_name": "GlorotUniform",
                        "config": {}
                    },
                    "bias_initializer": {
                        "module": "keras.initializers",
                        "class_name": "Zeros",
                        "config": {}
                    }
                },
                "build_config": {
                    "input_shape": [
                        64
                    ]
                }
            },
            {
                "module": "keras.layers",
                "class_name": "Dense",
                "config": {
                    "name": "dense_2",
                    "trainable": true,
                    "dtype": {
                        "module": "keras",
                        "class_name": "DTypePolicy",
                        "config": {
                            "name": "float32"
                        }
                    },
                    "units": 64,
                    "activation": "relu",
                    "use_bias": true,
                    "kernel_initializer": {
                        "module": "keras.initializers",
                        "class_name": "GlorotUniform",
                        "config": {}
                    },
                    "bias_initializer": {
                        "module": "keras.initializers",
                        "class_name": "Zeros",
                        "config": {}
                    }
                },
                "build_config": {
                    "input_shape": [
                        128
                    ]
                }
            },
            {
                "module": "keras.layers",
                "class_name": "Dense",
                "config": {
                    "name": "dense_3",
                    "trainable": true,
                    "dtype": {
                        "module": "keras",
                        "class_name": "DTypePolicy",
                        "config": {
                            "name": "float32"
                        }
                    },
                    "units": 1,
                    "activation": "sigmoid",
                    "use_bias": true,
                    "kernel_initializer": {
                        "module": "keras.initializers",
                        "class_name": "GlorotUniform",
                        "config": {}
                    },
                    "bias_initializer": {
                        "module": "keras.initializers",
                        "class_name": "Zeros",
                        "config": {}
                    }
                },
                "build_config": {
                    "input_shape": [
                        64
                    ]
                }
            }
        ],
        "build_input_shape": [
            100
        ]
    },
    "build_config": {
        "input_shape": [
            100
        ]
    },
    "compile_config": {
        "optimizer": {
            "module": "keras.optimizers",
            "class_name": "Adam",
            "config": {
                "name": "adam",
                "learning_rate": 0.0010000000474974513,
                "use_ema": false,
                "ema_momentum": 0.99,
                "beta_1": 0.9,
                "beta_2": 0.999,
                "epsilon": 1e-07,
                "amsgrad": false
            }
        },
        "loss": "binary_crossentropy",
        "metrics": [
            "accuracy"
        ],
        "run_eagerly": false,
        "steps_per_execution": 1,
        "jit_compile": false
    }
}
```

### Metrics

- **Test loss:** 0.5084354877471924
- **Epochs:** 100
- **Batch Size:** 32
- **Optimizer:** Adam
- **Learning Rate:** 0.001
- **Input Shape:** (26048, 100)

## Bias Analysis

- **demographic_parity_diff:** 0.032400848225782965
- **equal_odds_difference:** 0.03417438108252019

## Explainability Analysis

- **capital_gain:** 0.14158532669974697
- **fnlwgt:** 0.015681726452377108
- **age:** 0.00021690960559580313
- **hours_per_week:** 0.00013091093136204657
- **relationship__Not_in_family:** 7.917947239345974e-05
- **marital_status__Married_civ_spouse:** 7.522924906677672e-05
- **education__HS_grad:** 5.9253134661254366e-05
- **occupation__Exec_managerial:** 5.8465765582191924e-05
- **marital_status__Never_married:** 2.9966458678243015e-05
- **education_num:** 2.848242719968154e-05

## Model Requirements

- absl-py==1.4.0
- accelerate==1.2.1
- aiohappyeyeballs==2.4.4
- aiohttp==3.11.11
- aiosignal==1.3.2
- alabaster==1.0.0
- albucore==0.0.19
- albumentations==1.4.20
- ale-py==0.10.1
- altair==5.5.0
- annotated-types==0.7.0
- anyio==3.7.1
- argon2-cffi-bindings==21.2.0
- argon2-cffi==23.1.0
- array-record==0.6.0
- arviz==0.20.0
- astropy-iers-data==0.2025.1.27.0.32.44
- astropy==6.1.7
- astunparse==1.6.3
- atpublic==4.1.0
- attrs==25.1.0
- audioread==3.0.1
- autocommand==2.2.2
- autograd==1.7.0
- babel==2.16.0
- backcall==0.2.0
- backports.tarfile==1.2.0
- beautifulsoup4==4.12.3
- bigframes==1.33.0
- bigquery-magics==0.5.0
- bleach==6.2.0
- blinker==1.9.0
- blis==0.7.11
- blosc2==3.0.0
- bokeh==3.6.2
- bottleneck==1.4.2
- bqplot==0.12.44
- branca==0.8.1
- cachecontrol==0.14.2
- cachetools==5.5.1
- catalogue==2.0.10
- certifi==2024.12.14
- cffi==1.17.1
- chardet==5.2.0
- charset-normalizer==3.4.1
- chex==0.1.88
- clarabel==0.9.0
- click==8.1.8
- cloudpathlib==0.20.0
- cloudpickle==3.1.1
- cmake==3.31.4
- cmdstanpy==1.2.5
- colorcet==3.1.0
- colorlover==0.3.0
- colour==0.1.5
- community==1.0.0b1
- confection==0.1.5
- cons==0.4.6
- contourpy==1.3.1
- cramjam==2.9.1
- cryptography==43.0.3
- cuda-python==12.6.0
- cudf-cu12==24.12.0
- cufflinks==0.17.3
- cupy-cuda12x==13.3.0
- cvxopt==1.3.2
- cvxpy==1.6.0
- cycler==0.12.1
- cyipopt==1.5.0
- cymem==2.0.11
- cython==3.0.11
- dask==2024.10.0
- datascience==0.17.6
- db-dtypes==1.4.0
- dbus-python==1.2.18
- debugpy==1.8.0
- decorator==4.4.2
- defusedxml==0.7.1
- deprecated==1.2.18
- diffusers==0.32.2
- distro==1.9.0
- dlib==19.24.2
- dm-tree==0.1.8
- docker-pycreds==0.4.0
- docstring-parser==0.16
- docutils==0.21.2
- dopamine-rl==4.1.2
- duckdb==1.1.3
- earthengine-api==1.4.6
- easydict==1.13
- editdistance==0.8.1
- eerepr==0.1.0
- einops==0.8.0
- en-core-web-sm==3.7.1
- entrypoints==0.4
- et-xmlfile==2.0.0
- etils==1.11.0
- etuples==0.3.9
- eval-type-backport==0.2.2
- farama-notifications==0.0.4
- fastai==2.7.18
- fastcore==1.7.28
- fastdownload==0.0.7
- fastjsonschema==2.21.1
- fastprogress==1.0.3
- fastrlock==0.8.3
- filelock==3.17.0
- firebase-admin==6.6.0
- flask==3.1.0
- flatbuffers==25.1.24
- flax==0.10.2
- folium==0.19.4
- fonttools==4.55.6
- frozendict==2.4.6
- frozenlist==1.5.0
- fsspec==2024.10.0
- future==1.0.0
- gast==0.6.0
- gcsfs==2024.10.0
- gdal==3.6.4
- gdown==5.2.0
- geemap==0.35.1
- gensim==4.3.3
- geocoder==1.38.1
- geographiclib==2.0
- geopandas==1.0.1
- geopy==2.4.1
- gin-config==0.5.0
- gitdb==4.0.12
- gitpython==3.1.44
- glob2==0.7
- google-ai-generativelanguage==0.6.15
- google-api-core==2.19.2
- google-api-python-client==2.155.0
- google-auth-httplib2==0.2.0
- google-auth-oauthlib==1.2.1
- google-auth==2.27.0
- google-cloud-aiplatform==1.74.0
- google-cloud-bigquery-connection==1.17.0
- google-cloud-bigquery-storage==2.27.0
- google-cloud-bigquery==3.25.0
- google-cloud-bigtable==2.28.1
- google-cloud-core==2.4.1
- google-cloud-datastore==2.20.2
- google-cloud-firestore==2.19.0
- google-cloud-functions==1.19.0
- google-cloud-iam==2.17.0
- google-cloud-language==2.16.0
- google-cloud-pubsub==2.25.0
- google-cloud-resource-manager==1.14.0
- google-cloud-spanner==3.51.0
- google-cloud-storage==2.19.0
- google-cloud-translate==3.19.0
- google-colab==1.0.0
- google-crc32c==1.6.0
- google-genai==0.3.0
- google-generativeai==0.8.4
- google-pasta==0.2.0
- google-resumable-media==2.7.2
- google==2.0.3
- googleapis-common-protos==1.66.0
- googledrivedownloader==0.4
- graphviz==0.20.3
- greenlet==3.1.1
- grpc-google-iam-v1==0.14.0
- grpc-interceptor==0.15.4
- grpcio-status==1.62.3
- grpcio==1.70.0
- gspread-dataframe==4.0.0
- gspread==6.1.4
- gym-notices==0.0.8
- gym==0.25.2
- gymnasium==1.0.0
- h11==0.14.0
- h5netcdf==1.5.0
- h5py==3.12.1
- highspy==1.9.0
- holidays==0.65
- holoviews==1.20.0
- html5lib==1.1
- httpcore==1.0.7
- httpimport==1.4.0
- httplib2==0.22.0
- httpx==0.28.1
- huggingface-hub==0.27.1
- humanize==4.11.0
- hyperopt==0.2.7
- ibis-framework==9.2.0
- idna==3.10
- imageio-ffmpeg==0.6.0
- imageio==2.36.1
- imagesize==1.4.1
- imbalanced-learn==0.13.0
- imgaug==0.4.0
- immutabledict==4.2.1
- importlib-metadata==8.6.1
- importlib-resources==6.5.2
- imutils==0.5.4
- inflect==7.5.0
- iniconfig==2.0.0
- intel-cmplr-lib-ur==2025.0.4
- intel-openmp==2025.0.4
- ipyevents==2.0.2
- ipyfilechooser==0.6.0
- ipykernel==5.5.6
- ipyleaflet==0.19.2
- ipyparallel==8.8.0
- ipython-genutils==0.2.0
- ipython-sql==0.5.0
- ipython==7.34.0
- ipytree==0.2.2
- ipywidgets==7.7.1
- itsdangerous==2.2.0
- jaraco.collections==5.1.0
- jaraco.context==5.3.0
- jaraco.functools==4.0.1
- jaraco.text==3.12.1
- jax-cuda12-pjrt==0.4.33
- jax-cuda12-plugin==0.4.33
- jax==0.4.33
- jaxlib==0.4.33
- jeepney==0.7.1
- jellyfish==1.1.0
- jieba==0.42.1
- jinja2==3.1.5
- jiter==0.8.2
- joblib==1.4.2
- jsonpatch==1.33
- jsonpickle==4.0.1
- jsonpointer==3.0.0
- jsonschema-specifications==2024.10.1
- jsonschema==4.23.0
- jupyter-client==6.1.12
- jupyter-console==6.1.0
- jupyter-core==5.7.2
- jupyter-leaflet==0.19.2
- jupyter-server==1.24.0
- jupyterlab-pygments==0.3.0
- jupyterlab-widgets==3.0.13
- kaggle==1.6.17
- kagglehub==0.3.6
- keras==3.8.0
- keyring==23.5.0
- kiwisolver==1.4.8
- langchain-core==0.3.31
- langchain-text-splitters==0.3.5
- langchain==0.3.15
- langcodes==3.5.0
- langsmith==0.3.1
- language-data==1.3.0
- launchpadlib==1.10.16
- lazr.restfulclient==0.14.4
- lazr.uri==1.0.6
- lazy-loader==0.4
- libclang==18.1.1
- libcudf-cu12==24.12.0
- libkvikio-cu12==24.12.1
- librosa==0.10.2.post1
- lightgbm==4.5.0
- linkify-it-py==2.0.3
- llvmlite==0.43.0
- locket==1.0.0
- logical-unification==0.4.6
- lxml==5.3.0
- marisa-trie==1.2.1
- markdown-it-py==3.0.0
- markdown==3.7
- markupsafe==3.0.2
- matplotlib-inline==0.1.7
- matplotlib-venn==1.1.1
- matplotlib==3.10.0
- mdit-py-plugins==0.4.2
- mdurl==0.1.2
- minikanren==1.0.3
- missingno==0.5.2
- mistune==3.1.0
- mizani==0.13.1
- mkl==2025.0.1
- ml-dtypes==0.4.1
- mlxtend==0.23.4
- more-itertools==10.5.0
- moviepy==1.0.3
- mpmath==1.3.0
- msgpack==1.1.0
- multidict==6.1.0
- multipledispatch==1.0.0
- multitasking==0.0.11
- murmurhash==1.0.12
- music21==9.3.0
- namex==0.0.8
- narwhals==1.24.0
- natsort==8.4.0
- nbclassic==1.2.0
- nbclient==0.10.2
- nbconvert==7.16.5
- nbformat==5.10.4
- ndindex==1.9.2
- nest-asyncio==1.6.0
- networkx==3.4.2
- nibabel==5.3.2
- nltk==3.9.1
- notebook-shim==0.2.4
- notebook==6.5.5
- numba-cuda==0.0.17.1
- numba==0.60.0
- numexpr==2.10.2
- numpy==1.26.4
- nvidia-cublas-cu12==12.5.3.2
- nvidia-cuda-cupti-cu12==12.5.82
- nvidia-cuda-nvcc-cu12==12.5.82
- nvidia-cuda-nvrtc-cu12==12.5.82
- nvidia-cuda-runtime-cu12==12.5.82
- nvidia-cudnn-cu12==9.3.0.75
- nvidia-cufft-cu12==11.2.3.61
- nvidia-curand-cu12==10.3.6.82
- nvidia-cusolver-cu12==11.6.3.83
- nvidia-cusparse-cu12==12.5.1.3
- nvidia-nccl-cu12==2.21.5
- nvidia-nvcomp-cu12==4.1.0.6
- nvidia-nvjitlink-cu12==12.5.82
- nvidia-nvtx-cu12==12.4.127
- nvtx==0.2.10
- nx-cugraph-cu12==24.12.0
- oauth2client==4.1.3
- oauthlib==3.2.2
- openai==1.59.9
- opencv-contrib-python==4.10.0.84
- opencv-python-headless==4.11.0.86
- opencv-python==4.10.0.84
- openpyxl==3.1.5
- opentelemetry-api==1.16.0
- opentelemetry-sdk==1.16.0
- opentelemetry-semantic-conventions==0.37b0
- opt-einsum==3.4.0
- optax==0.2.4
- optree==0.14.0
- orbax-checkpoint==0.6.4
- orjson==3.10.15
- osqp==0.6.7.post3
- packaging==24.2
- pandas-datareader==0.10.0
- pandas-gbq==0.26.1
- pandas-stubs==2.2.2.240909
- pandas==2.2.2
- pandocfilters==1.5.1
- panel==1.6.0
- param==2.2.0
- parso==0.8.4
- parsy==2.1
- partd==1.4.2
- pathlib==1.0.1
- patra-toolkit==0.1.2
- patsy==1.0.1
- peewee==3.17.8
- peft==0.14.0
- pexpect==4.9.0
- pickleshare==0.7.5
- pillow==11.1.0
- pip==24.1.2
- platformdirs==4.3.6
- plotly==5.24.1
- plotnine==0.14.5
- pluggy==1.5.0
- ply==3.11
- polars==1.9.0
- pooch==1.8.2
- portpicker==1.5.2
- preshed==3.0.9
- prettytable==3.13.0
- proglog==0.1.10
- progressbar2==4.5.0
- prometheus-client==0.21.1
- promise==2.3
- prompt-toolkit==3.0.50
- propcache==0.2.1
- prophet==1.1.6
- proto-plus==1.25.0
- protobuf==4.25.6
- psutil==5.9.5
- psycopg2==2.9.10
- ptyprocess==0.7.0
- py-cpuinfo==9.0.0
- py4j==0.10.9.7
- pyarrow==17.0.0
- pyasn1-modules==0.4.1
- pyasn1==0.6.1
- pycocotools==2.0.8
- pycparser==2.22
- pydantic-core==2.27.2
- pydantic==2.10.6
- pydata-google-auth==1.9.1
- pydot==3.0.4
- pydotplus==2.0.2
- pydrive2==1.21.3
- pydrive==1.3.1
- pyerfa==2.0.1.5
- pygame==2.6.1
- pygit2==1.16.0
- pygments==2.18.0
- pygobject==3.42.1
- pyjwt==2.10.1
- pylibcudf-cu12==24.12.0
- pylibcugraph-cu12==24.12.0
- pylibraft-cu12==24.12.0
- pymc==5.19.1
- pymystem3==0.2.0
- pynvjitlink-cu12==0.4.0
- pyogrio==0.10.0
- pyomo==6.8.2
- pyopengl==3.1.9
- pyopenssl==24.2.1
- pyparsing==3.2.1
- pyperclip==1.9.0
- pyproj==3.7.0
- pyshp==2.3.1
- pysocks==1.7.1
- pyspark==3.5.4
- pytensor==2.26.4
- pytest==8.3.4
- python-apt==0.0.0
- python-box==7.3.2
- python-dateutil==2.8.2
- python-louvain==0.16
- python-slugify==8.0.4
- python-snappy==0.7.3
- python-utils==3.9.1
- pytz==2024.2
- pyviz-comms==3.0.4
- pyyaml==6.0.2
- pyzmq==24.0.1
- qdldl==0.1.7.post5
- ratelim==0.1.6
- referencing==0.36.2
- regex==2024.11.6
- requests-oauthlib==1.3.1
- requests-toolbelt==1.0.0
- requests==2.32.3
- requirements-parser==0.9.0
- rich==13.9.4
- rmm-cu12==24.12.1
- rpds-py==0.22.3
- rpy2==3.4.2
- rsa==4.9
- safetensors==0.5.2
- scikit-image==0.25.1
- scikit-learn==1.6.1
- scipy==1.13.1
- scooby==0.10.0
- scs==3.2.7.post2
- seaborn==0.13.2
- secretstorage==3.3.1
- send2trash==1.8.3
- sentence-transformers==3.3.1
- sentencepiece==0.2.0
- sentry-sdk==2.20.0
- setproctitle==1.3.4
- setuptools==75.1.0
- shapely==2.0.6
- shellingham==1.5.4
- simple-parsing==0.1.7
- six==1.17.0
- sklearn-compat==0.1.3
- sklearn-pandas==2.2.0
- slicer==0.0.8
- smart-open==7.1.0
- smmap==5.0.2
- sniffio==1.3.1
- snowballstemmer==2.2.0
- soundfile==0.13.1
- soupsieve==2.6
- soxr==0.5.0.post1
- spacy-legacy==3.0.12
- spacy-loggers==1.0.5
- spacy==3.7.5
- spanner-graph-notebook==1.0.9
- sphinx==8.1.3
- sphinxcontrib-applehelp==2.0.0
- sphinxcontrib-devhelp==2.0.0
- sphinxcontrib-htmlhelp==2.1.0
- sphinxcontrib-jsmath==1.0.1
- sphinxcontrib-qthelp==2.0.0
- sphinxcontrib-serializinghtml==2.0.0
- sqlalchemy==2.0.37
- sqlglot==25.6.1
- sqlparse==0.5.3
- srsly==2.5.1
- stanio==0.5.1
- statsmodels==0.14.4
- stringzilla==3.11.3
- sympy==1.13.1
- tables==3.10.2
- tabulate==0.9.0
- tbb==2022.0.0
- tcmlib==1.2.0
- tenacity==9.0.0
- tensorboard-data-server==0.7.2
- tensorboard==2.18.0
- tensorflow-datasets==4.9.7
- tensorflow-hub==0.16.1
- tensorflow-io-gcs-filesystem==0.37.1
- tensorflow-metadata==1.16.1
- tensorflow-probability==0.24.0
- tensorflow==2.18.0
- tensorstore==0.1.71
- termcolor==2.5.0
- terminado==0.18.1
- text-unidecode==1.3
- textblob==0.17.1
- tf-keras==2.18.0
- tf-slim==1.1.0
- thinc==8.2.5
- threadpoolctl==3.5.0
- tifffile==2025.1.10
- timm==1.0.14
- tinycss2==1.4.0
- tokenizers==0.21.0
- toml==0.10.2
- tomli==2.0.1
- toolz==0.12.1
- torch==2.5.1+cu124
- torchaudio==2.5.1+cu124
- torchsummary==1.5.1
- torchvision==0.20.1+cu124
- tornado==6.3.3
- tqdm==4.67.1
- traitlets==5.7.1
- traittypes==0.2.1
- transformers==4.47.1
- triton==3.1.0
- tweepy==4.14.0
- typeguard==4.4.1
- typer==0.15.1
- types-pytz==2024.2.0.20241221
- types-setuptools==75.8.0.20250110
- typing-extensions==4.12.2
- tzdata==2025.1
- tzlocal==5.2
- uc-micro-py==1.0.3
- umf==0.9.1
- uritemplate==4.1.1
- urllib3==2.3.0
- vega-datasets==0.9.0
- wadllib==1.3.6
- wandb==0.19.4
- wasabi==1.1.3
- wcwidth==0.2.13
- weasel==0.4.1
- webcolors==24.11.1
- webencodings==0.5.1
- websocket-client==1.8.0
- websockets==14.2
- werkzeug==3.1.3
- wheel==0.45.1
- widgetsnbextension==3.6.10
- wordcloud==1.9.4
- wrapt==1.17.2
- xarray-einstats==0.8.0
- xarray==2025.1.1
- xgboost==2.1.3
- xlrd==2.0.1
- xyzservices==2025.1.0
- yarl==1.18.3
- yellowbrick==1.5
- yfinance==0.2.52
- zipp==3.21.0
- zstandard==0.23.0