Picking a single Kaggle contest is not an effective way of making inferences about overall accuracy. I would suggest using a broad suite of datasets from Kaggle or OpenML like we have done here:

• https://medium.com/augerai/auger-outperforms-competitors-on-their-own-chosen-datasets-the-google-update-cd83b6abcc2e
• https://medium.com/augerai/auger-ai-outperform-other-automl-tools-even-on-their-own-chosen-datasets-232aff4cfcad

Also I suggest you take a look at Azure AutoML and Auger.AI. As you can see from those benchmark suites those two products perform better than the ones you listed.