Iris species predictor
simple GUI web model for predicting Iris species using mesurments input DataType : float, example: 1.0 or 1 or 7.2 (dosen't accept commas ",")
Libraries needed
Pandas, scikit-learn, flask, gunicorn
Installing The Required Libraries
$ pip install pandas
$ pip install scikit-learn
$ pip install flask
Dataset
the dataset contains 150 samples of 3 species of Iris flowers , perfectly balanced 50,50,50 the dataset dosent have any unrealistic measurments or missing values.
Running the file
make sure the csv file and the python file are in the same directory and then open a terminal and type:
$ python app.py
will launch a local web server so you can try the app on a GUI
iris-species-predictor-web
iris-species-predictor-web
iris-species-predictor-web
iris-species-predictor-web
iris-species-predictor-web
1 maintainer
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