# Modeling FAQ > Modeling FAQ - The following addresses questions and answers about modeling in general and then more > specifically about building models and using model insights. This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context. Companion generated at `2026-04-24T16:03:56.600428+00:00` (UTC). ## Primary page - [Modeling FAQ](https://docs.datarobot.com/en/docs/classic-ui/modeling/general-modeling-faq.html): Full documentation for this topic (HTML). ## Sections on this page - [General modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/general-modeling-faq.html#general-modeling): In-page section heading. - [Build models](https://docs.datarobot.com/en/docs/classic-ui/modeling/general-modeling-faq.html#build-models): In-page section heading. - [Model insights](https://docs.datarobot.com/en/docs/classic-ui/modeling/general-modeling-faq.html#model-insights): In-page section heading. ## Related documentation - [Classic UI documentation](https://docs.datarobot.com/en/docs/classic-ui/index.html): Linked from this page. - [Modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/index.html): Linked from this page. - [specific model types](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/model-list.html): Linked from this page. - [Worker Queue](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/worker-queue.html): Linked from this page. - [graphical representation of a blueprint](https://docs.datarobot.com/en/docs/api/reference/public-api/blueprints.html): Linked from this page. - [Smart downsampling](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/smart-ds.html): Linked from this page. - [Exploratory data analysis](https://docs.datarobot.com/en/docs/reference/data-ref/eda-explained.html): Linked from this page. - [asterisk on the Leaderboard](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/leaderboard-ref.html#asterisked-scores): Linked from this page. - [stacked predictions](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/data-partitioning.html#what-are-stacked-predictions): Linked from this page. - [frozen run](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/build-basic/frozen-run.html): Linked from this page. - [modeling mode options](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/build-basic/model-data.html#set-the-modeling-mode): Linked from this page. - [Repository](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/build-basic/repository.html): Linked from this page. - [quality assessment](https://docs.datarobot.com/en/docs/classic-ui/data/analyze-data/data-quality.html): Linked from this page. - [target leakage features removed](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/build-basic/feature-lists.html#automatically-created-feature-lists): Linked from this page. - [data drift tracking](https://docs.datarobot.com/en/docs/classic-ui/mlops/monitor/data-drift.html): Linked from this page. - [certain patterns](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/model-ref.html#missing-values): Linked from this page. - [disguised missing value](https://docs.datarobot.com/en/docs/reference/data-ref/data-quality-ref.html#disguised-missing-values): Linked from this page. - [automatic feature transformations](https://docs.datarobot.com/en/docs/reference/data-ref/auto-transform.html): Linked from this page. - [manual transformations](https://docs.datarobot.com/en/docs/classic-ui/data/transform-data/feature-transforms.html): Linked from this page. - [train-time image augmentation](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/visual-ai/tti-augment/ttia-lists.html): Linked from this page. - [time series feature derivation](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/ts-modeling-data/ts-create-data.html#create-the-modeling-dataset): Linked from this page. - [Feature Discovery](https://docs.datarobot.com/en/docs/classic-ui/data/transform-data/feature-discovery/fd-overview.html): Linked from this page. - [Spark SQL query](https://docs.datarobot.com/en/docs/classic-ui/data/ai-catalog/spark.html): Linked from this page. - [comprehensive set of choices](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/opt-metric.html): Linked from this page. - [change the selection](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/additional.html#change-the-optimization-metric): Linked from this page. - [eligible for multiclass conversion](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/multiclass.html#change-regression-projects-to-multiclass): Linked from this page. - [set the method](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/partitioning.html): Linked from this page. - [create and recreate](https://docs.datarobot.com/en/docs/classic-ui/data/ai-catalog/catalog.html#create-a-project): Linked from this page. - [Actionsmenu](https://docs.datarobot.com/en/docs/classic-ui/modeling/manage-projects.html#duplicate-a-project): Linked from this page. - [Resource Monitor](https://docs.datarobot.com/en/docs/platform/admin/monitoring/resource-monitor.html): Linked from this page. - [Learning Curves](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/other/learn-curve.html): Linked from this page. - [Speed vs Accuracy](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/other/speed.html): Linked from this page. - [Model Comparison](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/other/model-compare.html): Linked from this page. - [prepares it for deployment](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/model-rec-process.html): Linked from this page. - [model log](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/describe/log-classic.html): Linked from this page. - [documented workarounds](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/other/analyze-insights.html#text-based-insights): Linked from this page. - [Cumulative Gain](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/cumulative-charts-classic.html#cumulative-gain-chart): Linked from this page. - [ROC Curve](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/index.html): Linked from this page. - [Advanced Tuning](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/adv-tuning.html): Linked from this page. - [Feature Impact](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/feature-impact-classic.html): Linked from this page. - [export the coefficients](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/describe/coefficients-classic.html#generate-output): Linked from this page. - [calculated](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/feature-effects-classic.html#partial-dependence-calculations): Linked from this page. - [Model Info](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/describe/model-info-classic.html): Linked from this page. ## Documentation content # Modeling FAQ The following addresses questions and answers about modeling in general and then more specifically about building models and using model insights. ## General modeling ## Build models **SaaS:** What is the difference between prediction and modeling servers? Modeling servers power all the creation and model analysis done from the UI and from the R and Python clients. Prediction servers are used solely for making predictions and handling prediction requests on deployed models. **Self-Managed:** What is the difference between prediction and modeling servers? Modeling servers power all the creation and model analysis done from the UI and from the R and Python clients. Modeling worker resources are reported in the Resource Monitor . Prediction servers are used solely for making predictions and handling prediction requests on deployed models. ## Model insights