Consider the iris flower dataset, which includes information about different variations of iris flowers. (The data can be accessed at Kaggle) Create a Jupyter notebook file that includes the following:

1. An explanation about different classes that already exist in the dataset.
2. Python code that builds different data classifiers (at least two) using the different classification algorithms, trains those classifiers using the training data, and displays their accuracy results.
3. Python code to run those classifiers on the test data and compare their results and accuracy. Discuss the reasons for different accuracies.
4. A summary of the results and your findings.

Important Notes:

Data mining using python