Why Feature Labs?

In today's world, innovative companies use their data to stay ahead of the competition. Predictive modeling with Feature Labs enables developers, analysts, managers, and executives to build and deliver intelligent products tailored to their specific needs.

Solving business problems with "Prediction Engineering"

Translating a business need to a technical prediction problem definition often requires many iterations. While use cases are similar, the data and processes required to take advantage of predictive models can vary between large enterprises. Feature Labs offers a flexible interface to define and predict any future "event" of interest. After building a simple predictive model, the prediction can be refined to answer questions like:

  • Can we accurately predict if the event of interest happens in next X days?
  • If we predict Y days in advance, how much does predictive accuracy decrease?
  • Can we change the model to only predict after an event Z occurs?

Automated Feature Engineering

Most machine learning companies expect data to appear cleanly formatted as a single table, where one column is used to predict all of the others. However, many datasets are actually observations collected over time and do not fit this format. In order to make future predictions, patterns from our historical data must be extracted. Feature Labs does this automatically for any relational and time series dataset using our proprietary algorithm called Deep Feature Synthesis. This enables users to obtain human data scientist accuracy levels in 1/10th of the time.

Easy Model Deployment

Return on investment only occurs when organizations operationalize and integrate their developed predictive models. Feature Labs was built to make it possible to effortlessly transition from exploratory work to production. Once your work is in production, it's easy to retrain using new data, adjust modeling parameters, and confidently evaluate performance.