soumikmahato/synthetic-saas-user-conversion
Synthetic SaaS User Conversion A fully synthetic tabular dataset for practicing binary classification models such as an MLP. The target indicates whether a simulated SaaS user converted to a paid subscription. It contains no real people or customer records. Splits train.csv: 2,000 rows test.csv: 500 rows Target converted: binary label where 1 is the positive outcome and 0 is the negative outcome. Features user_id: anonymous… See the full description on the dataset page: https://huggingface.co/datasets/soumikmahato/synthetic-saas-user-conversion.
Synthetic SaaS User Conversion
A fully synthetic tabular dataset for practicing binary classification models such as an MLP. The target indicates whether a simulated SaaS user converted to a paid subscription. It contains no real people or customer records.
Splits
- train.csv: 2,000 rows
- test.csv: 500 rows
Target
- converted: binary label where 1 is the positive outcome and 0 is the negative outcome.
Features
- user_id: anonymous synthetic user identifier
- acquisitionchannel, devicetype, country_tier: acquisition context
- dayssincesignup and trialdaysremaining: trial timing
- sessions30d, avgsessionminutes, keyfeatures_used: engagement
- pricingpageviews, supportchatused, emailclickrate_pct: purchase-intent signals
Notes
Values and labels were procedurally generated with a deterministic seed for educational use only. Do not treat the patterns as real-world evidence or production guidance.