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Conclusion

Summary​

This tutorial taught us how to generate an MLI report for an H2O Driverless AI model while exposing its content. In particular, we learned how to interpret a decision tree surrogate model of an H2O Driverless AI model.

Next​

To expand your knowledge base with H2O Driverless AI, explore the following tutorial around Natural Language Processing (NLP): Tutorial 2B: Natural Language Processing (NLP) - Sentiment analysis.

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