# Hyperparameter tuning with RAPIDS on GPUs yields higher accuracy models #HPO

**URL:** <https://forums.developer.nvidia.com/t/hyperparameter-tuning-with-rapids-on-gpus-yields-higher-accuracy-models-hpo/165697>\
**Category:** Data Science of the Day\
**Tags:** fun-facts, data-science, rapids, machine-learning, python\
**Created:** [January 19, 2021, 2:00pm UTC](https://forums.developer.nvidia.com/t/hyperparameter-tuning-with-rapids-on-gpus-yields-higher-accuracy-models-hpo/165697 "2021-01-19T14:00:11Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![btegegn](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/btegegn/32/14047_2.png) [@btegegn](https://forums.developer.nvidia.com/u/btegegn)\
**Post date:** [January 19, 2021, 2:00pm UTC](https://forums.developer.nvidia.com/t/hyperparameter-tuning-with-rapids-on-gpus-yields-higher-accuracy-models-hpo/165697/1 "2021-01-19T14:00:11Z")

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"[![Combining @OptunaAutoML and @rapidsai on #GPU helps run experiments faster yielding better performing models. See how we reduced the log loss by nearly 40% (from 14.1 to 8.2) with a few lines of code for automated tuning.](https://global.discourse-cdn.com/nvidia/original/3X/9/7/976bb874174e8ec339c344454d93acf937957046.jpeg)  
Click the image to read the article](https://medium.com/rapids-ai/hyper-parameter-optimization-with-optuna-and-rapids-467fc8189962#cid=av01_so-twit_en-us)  
[**Find more #DSotD posts**](https://forums.developer.nvidia.com/c/DSotD/323)