Simply upload your training data and click “next.” Squark does all the machine learning heavy lifting—automatically.
Squark’s data intelligence suggests which prediction variables to use and allows you accept or override. Multiple model types—from deep learners to gradient boosters to decision trees to ensemble models and more—are built automatically, thousands of times. Those models are tested, validated, and ranked to select the one that performs best.
Squark also explains which variables are most important to the predictive results. After all, understanding why the model works is critical to knowing how it will perform with real-world information. The final step is to run production data. Even large data sets with many variables are processed quickly, showing predictions in the same, interactive session. Start to finish is measured in minutes.