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Iris classification using Learning Vector Quantization 3 (LVQ 3) and its comparison with K-NN and Random Forest

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iris_lvq3

Hello, this is a classification of Iris datasets using Learning Vector Quantization 3 (LVQ 3) and its comparison with K-Nearest Neighbour (K-NN) and Random Forest Classifier.

Iris datasets contains three flower species with features (columns) such as

  1. Id
  2. SepalLengthCm
  3. SepalWidthCm
  4. PetalLengthCm
  5. PetalWidthCm
  6. Species

alt text

Comparison

Comparing with two other methods in K-Fold cross validation, you can see accuracy of LVQ 3 in plot below:

alt text

or these are results mean of:

  • K-NN: 99,3%
  • LVQ 3: 97,3%
  • RFC: 98,67%

sure, it depends on parameter you used for three methods above.

If any questions, kindly send me mail through [email protected] or post your issues above.

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Iris classification using Learning Vector Quantization 3 (LVQ 3) and its comparison with K-NN and Random Forest

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