Open Research Sandbox / Component Node: LINEAR-REGRESSION
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LAB_PROJECT_RUN()

📉 Machine Learning: Linear Regression Simulator

Linear regression fits a linear equation to observed data. Click anywhere inside the white grid area to insert custom 2D data points. The model will recalculate the optimal slope and intercept parameters dynamically.

COMPUTED_PARAMETERS
Model Equation:
ŷ = 0.0000x + 300.00
Slope (m): 0.0000
y-Intercept (b): 300.00
R² Score: 0.0000
Data count: 5 points

Theoretical References

[AI-NN-01]Backpropagation from First Principles