• Why should I use decision tree models?
• What kind of algorithm does BigML use to build decision tree models and how does it work?
• Why does one dataset take more time to build a model than another?
• How can I interpret the BigML models and interact with them?
• Can I capture an image of an entire model with all its branches?
• How can I change the objective field chosen by default?
• How is the confidence being estimated in a decision tree model?
• How can I improve the confidence of my model?
• How can I include the confidence or expected error in my batch prediction?
• What method is used to calculate field importance for the BigML models and ensembles?
• How does BigML calculate pruning for models?
• How does BigML calculate the support in a model?
• Are there any limits on model size in terms of memory to save it onto a smartphone?
• Can I export my model in PMML?
• Why can’t I export all my models to Excel?