Multi-Class Classification problem which involves EDA followed by application of 2 Classification Based Algortihms-Decision Tree & K-means clustering. Classifying the samples under 3 class of species-Sentosa, virginica, versicolor.
Exploratory Data Analysis
1.SCATTER PLOT
2.HEATMAP OF CONFUSION MATRIX
An insight we can get from the matrix is that the model was very accurate at classifying Setosa , Versicolor and Virginica (True Positive/All = 1.0).