Train and tune your models with visual configuration.
Welcome to the Model Training section of ML Clever. This is where you transform your prepared data into powerful predictive models. Our platform offers flexible approaches, allowing you to either manually configure specific algorithms or leverage the efficiency of automated machine learning (AutoML). Whether you're tackling a regression problem (predicting numbers) or a classification task (predicting categories), ML Clever provides the tools to build, train, and evaluate models without writing complex code.
ML Clever offers two primary methods for training your models:
Use automated machine learning for training.
Ideal for: Rapid exploration, benchmarking, or users seeking the best model without manual tuning.
Discover AutoML TrainingDepending on your defined task type, you can train models for:
Train models for regression tasks.
Example Task: Predicting house prices, forecasting sales, estimating temperature.
Learn about Regression ModelsTrain models for classification tasks.
Example Task: Identifying spam emails, diagnosing diseases, classifying customer churn.
Explore Classification ModelsDive deeper into the specific training methods and model types available by following the links above or using the detailed guides:
Use automated machine learning for training.
Train models for regression tasks.
Train models for classification tasks.
Once your models are trained, the next logical step is to evaluate their performance. See the next section in the sidebar or click below:
Learn about Model Evaluation