Visualizing Maximum Likelihood

Adjust the parameters to find the "peak" likelihood for the data.

Theoretical Model

Logistic Function

p = 1 / (1 + e-(b₀ + b₁x))

Joint Likelihood (L)

L = Π piyi(1-pi)1-yi

Model Parameters

0.00
1.00

Optimization Stats

Likelihood (L)

0.0000

Log-Likelihood (ln L)

-0.00

Classification (Threshold = 0.5)

Accuracy

0%

Precision

0%

Recall

0%

How to read this plot:

  • The Vertical Lines represent the likelihood of each point: Green for Correct, Red for Incorrect.
  • Correct Points: Appear as solid markers (X or Circle).
  • Incorrect Points: Are highlighted with a glowing red outline.
  • Goal: Adjust the curve to minimize the number of red-outlined points and maximize the total likelihood.