Name: Gender Classification Dataset
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Gender Classification Dataset

Context

While I was practicing machine learning, I wanted to create a simple dataset that is closely aligned to the real world scenario and gives better results to whet my appetite on this domain. If you are a beginner who wants to try solving classification problems in machine learning and if you prefer achieving better results, try using this dataset in your projects which will be a great place to start.

Content

This dataset contains 7 features and a label column.

long_hair - This column contains 0's and 1's where 1 is "long hair" and 0 is "not long hair".
forehead_width_cm - This column is in CM's. This is the width of the forehead.
forehead_height_cm - This is the height of the forehead and it's in Cm's.
nose_wide - This column contains 0's and 1's where 1 is "wide nose" and 0 is "not wide nose".
nose_long - This column contains 0's and 1's where 1 is "Long nose" and 0 is "not long nose".
lips_thin - This column contains 0's and 1's where 1 represents the "thin lips" while 0 is "Not thin lips".
distance_nose_to_lip_long - This column contains 0's and 1's where 1 represents the "long distance between nose and lips" while 0 is "short distance between nose and lips".

gender - This is either "Male" or "Female".

Acknowledgements

Nothing to acknowledge as this is just a made up data.

Inspiration

It's painful to see bad results at the beginning. Don't begin with complicated datasets if you are a beginner. I'm sure that this dataset will encourage you to proceed further in the domain. Good luck.

Tables

Gender Classification V7

@kaggle.elakiricoder_gender_classification_dataset.gender_classification_v7

17.25 KB
5001 rows
8 columns


CREATE TABLE gender_classification_v7 (
  "long_hair" BIGINT,
  "forehead_width_cm" DOUBLE,
  "forehead_height_cm" DOUBLE,
  "nose_wide" BIGINT,
  "nose_long" BIGINT,
  "lips_thin" BIGINT,
  "distance_nose_to_lip_long" BIGINT,
  "gender" VARCHAR
);