Looking for the Best Predictive Model

You've trained your first predictive model using your training data source and it's now time to evaluate if you can use it with confidence to generate your predictions.

You can evaluate your predictive model's performance using a range of performance indicators. You can also add new predictive models with different settings and compare their performances if you want to refine your results.

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Once you've created your predictive scenario, you can add your first predictive model. Once you've created your predictive scenario, you can add your first predictive model. Once you've trained your classification predictive model, you can analyze its performance to make sure it's as accurate as possible. Once you've trained your regression predictive model, you can analyze its performance to make sure it's as accurate as possible. Once you've trained your Time Series predictive model, you can analyze its performance to make sure it's as accurate as possible. You want to create a new predictive model from scratch in your predictive scenario. Duplicate a predictive model to create a new version in the same predictive scenario. You can delete one or several predictive models from any of your predictive scenarios. Predictive model performance indicators help you assess the performance and robustness of your predictive model. You've assessed the performance of your predictive model and you're confident using it to generate predictions. Once the predictions are generated, a new dataset is created. You can augment your SAP Analytics Cloud stories or models using the data available in this generated dataset. The process might differs depending on the type of dataset (acquired or live) you used to generate this dataset and the insights you want to reuse in SAP Analytics Cloud.