sindhri / flower_species_classification

Use 4 flower measurements to classify flower species through a simple MLP with cross-validation.

Flower Species Classification

Use 4 flower measurements to classify flower species through a simple MLP with cross-validation.
Credit: Deep Learning with Python by Jason Brownlee
Data source UCL Machine Learning Repository http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data

Flower features:

1. Sepal length in centimeters.
2. Sepal width in centimeters.
3. Petal length in centimeters.
4. Petal width in centimeters.

The dataset has 150 rows and 5 columns. Column 1-4 are the flower features. Column 5 is the classification.
Final results of 10-fold cross validation:
Accuracy: 98.67% with a standard deviation of 2.67%