Standards Applied

Model Selection Pro

Compare your chosen models across all of your datasets at once.

Three steps: load your datasets, pick candidate models, compare. Updated: 7/7/2026

Damped Pendulum + Sine Drift (Jacobi sn)
y = A·exp(−k·(x−x₀))·sn(ω·(x−x₀) | m) + D + B·sin(ω₂·(x−x₀) + φ₂)
Trial 1
80 points

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How Model Selection Pro Works

We use nonlinear least-squares regression to find the parameters that best align your model to your data. Our engine follows a robust three-step approach:

  1. Direct Initial Fit: We derive a sensible starting guess from your data and run a high-speed Levenberg–Marquardt optimization.
  2. Intelligent Multistart: If the initial fit doesn't meet the target noise floor, the solver automatically restarts from various parameter sets to ensure we don't get trapped in a local minimum.
  3. Model Comparison: Click AutoFit to automatically compare all 100+ models, ranking them by goodness-of-fit error.

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Use-Case Navigation

If you already know you need a fixed model family, go to Polynomial Regression, Exponential Regression, or Logarithmic Regression.

If your data needs broader model exploration or custom equations, use CurveFit Pro, Curve Fitting Online, or Custom Equation Curve Fitting.

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