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
- Id
- SepalLengthCm
- SepalWidthCm
- PetalLengthCm
- PetalWidthCm
- Species
Comparing with two other methods in K-Fold cross validation, you can see accuracy of LVQ 3 in plot below:
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.