Hyperparameter Tuning in Random Forest Model
-
14-12-2020 - |
Pergunta
I'm new to the machine learning field, and I'm learning ML models by practice, and I'm facing an issue while using the machine learning model.
While I'm implementing the RandomForestClassifier model
with hyper tunning it's taking too much time to predict output. And I'm also using GridSearchCV
on it. so it's take much time.
Is there any way how can I solve this problem.
OR, Is Google Colab
or Kaggle Notebook
editor can perform better than Jupiter Notebook
?
Solução
You can access the GPU by going to the settings:
Runtime> Change runtime type and select GPU as Hardware accelerator.
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