Given demographic features, predict if income is above $50K.
- https://archive.ics.uci.edu/ml/datasets/Census+Income
- https://www.tensorflow.org/versions/r0.9/tutorials/wide/index.html
Loigt regression with
- 8 categorical features
- 5 continuous features
- 1 bucketized feature (age_bucket)
- 2 composite features (education_x_occupation, age_buckets_x_race_x_occupation)
Some top weights:
description | weight
------------------------------------------------------------------------+-------------
education--Doctorate | 12.0777
education--Prof-school | 10.494
education_x_occupation--Prof-school-Married-civ-spouse | 10.203
education_x_occupation--Doctorate-Married-civ-spouse | 9.46119
education--7th-8th | -9.00476
education_x_occupation--7th-8th-Married-civ-spouse | -8.86731
race_x_occupation_x_age_bucket--White-Exec-managerial-6 | 8.28021
education--9th | -8.16179
education_x_occupation--Masters-Married-civ-spouse | 7.59935
relationship--Other-relative | -7.39554
relationship--Wife | 7.13358
race_x_occupation_x_age_bucket--White-Exec-managerial-5 | 6.79246
age_bucket--8 | -6.73011
education_x_occupation--HS-grad-Never-married | -6.59893
occupation--Farming-fishing | -6.43566
marital_status--Widowed | -6.40761
education_x_occupation--9th-Married-civ-spouse | -6.29423
race_x_occupation_x_age_bucket--White-Sales-1 | -6.27174
education_x_occupation--HS-grad-Widowed | -6.2578
race_x_occupation_x_age_bucket--White-Prof-specialty-5 | 5.83243
education_x_occupation--Assoc-acdm-Married-civ-spouse | 5.50173
education--10th | -5.45628
race_x_occupation_x_age_bucket--White-Craft-repair-1 | -5.34799
education_x_occupation--HS-grad-Divorced | -5.3002
race--Amer-Indian-Eskimo | -5.27035
age_bucket--1 | -5.26784
race_x_occupation_x_age_bucket--White-Machine-op-inspct-2 | -5.22079
relationship--Own-child | -5.11061