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SMOTE Sample Count Calculator

Work out smote sample count instantly with clear inputs, formula shown and shareable results.

About SMOTE Sample Count Calculator

SMOTE creates a synthetic minority point by picking a real minority sample, choosing one of its k nearest minority neighbours, and interpolating at a random position on the segment between them. Fully balancing the classes needs majority minus minority new points, and the ratio of synthetic to real points tells you how hard the algorithm is being pushed — above roughly five, generated points start dominating the class.

Formula

SMOTE generation

synthetic = majority - minority; synthetic per real point = synthetic / minority; interpolation candidates = minority x k

Worked example

With the default values below, SMOTE Sample Count Calculator returns Synthetic samples SMOTE must generate of 9,000. Change any input above and every figure here is recalculated in your browser.

Inputs used

Real minority samplesminimum 2
500
Majority samplesminimum 1
9,500
k nearest neighboursaccepts 1–50
5

Results

Synthetic samples SMOTE must generate
9,000
Minority rows after resampling
9,500
Synthetic points per real minority point
18.00
Available neighbour pairs to interpolate along
2,500

Step by step

  1. 1Values used
  2. 2SMOTE generation
  3. 3Synthetic samples SMOTE must generate= 9,000
  4. 4Minority rows after resampling= 9,500
  5. 5Synthetic points per real minority point= 18.00
  6. 6Available neighbour pairs to interpolate along= 2,500

Assumptions and limits

  • The result is derived only from the 3 inputs listed above. Anything not among them is not part of the calculation.
  • In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
  • Figures are rounded for display to 2 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.

How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.

Frequently Asked Questions

Can k be larger than the minority count?

No. k must be less than the number of minority samples, otherwise there are not enough neighbours to interpolate between and the implementation will error.

Must SMOTE run before or after the train/test split?

Strictly after, and only on the training fold. Generating synthetic points before splitting leaks interpolated information into the test set and inflates the score.

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