Leverage the power of Machine Learning with an intuitive French-language interface for reliable forecasts and actionable insights. Principal Component Analysis combined with the Random Forest AI model, all within a turnkey tool, perfect for regression and trend analysis.
After loading your dataset in CSV format, HumarAI automatically applies preprocessing (cleaning missing values and filtering anomalies). The system then combines PCA for dimensionality reduction with a Random Forest model (500 trees, 5-fold cross-validation) to generate predictions. The results are presented with key metrics (R², MSE) and interactive visualizations (residuals, variable importance), while allowing you to export the predictions to a CSV file. A turnkey workflow, from import to decision-making analysis.
The prediction process with HumarAI is smooth and intuitive, ensuring robust analysis that is accessible even to non-specialized users.