please I'm new at Python and I need help writing this program in Python. All the instructions and files that I was given are being posted below. Thank you so much in advance, I'll make sure I give you a thumbs up :)

This is the iris testing file

This is the irisTraining file

Naive Bayes Classifier Exercise In Python The iris dataset contains 150 instances where each instance has 4 attributes (measurements) and a class label indicating the type of iris plant. The attribute information are as follows: 1) sepal length in cm, 2.) sepal width in cm, 3.) petal length in cm, 4.) petal width in cm. In this exercise, we combined 2 classes into one class so we have a total of 2 classes only. (-1 and 1). The data in irisPCTraining.txt and irisPCTesting.txt is the results of applying data reduction using PCA technique on the original data. Your program should accept the file names of the training data and the testing data. Example: trainingFile = "iris Training.txt" testingFile = "irisTesting.txt" Your program output should consist of the following information: 1. The classification accuracy on each testing dataset. 2. The number of true positives(TPs), false positives(FPs), true negatives (TNs), and false negatives (FNs). 3. The classification Precision and Recall. iris Testing.it - Notepad File Edit Format View Help 6.8 -1.8 4.8 1.4 1 6.1 -1.9 4.7 1.4 1 6.5 -1.2 5.1 -1 -1 6.7 -1.3 5.7 -1.1 - 1 6.7 -1.1 4.4 1.4 1 4.8 -1.4 1.9 0.2 -1 4.9 -1 1.4 0.2 -1 6.9 -1.2 5.7 -1.3 -1 4.5 -1.3 1.3 0.3 -1 4.3 -1 1.1 0.1 -1 5.2 -1.7 -1.9 1.41 5 -1.6 1.4 0.2 -1 6.4 -1.9 4.3 1.31 5.2 -1.5 1.5 0.2 -1 5.8 -1.7 -1.9 1.2 1 5.5 4.2 1.4 0.2 -1 7.6 -1 6.6 -1.1 -1 6.3 -1.8 5.1 1.5 -1 6.4 -1.1 5.5 1.8 -1 6.3 -1.5 4.9 1.5 1 5.8 -1.7 5.1 1.9 -1 5 -1 1.6 0.2 -1 6.7 -1.1 4.7 1.5 1 6 -1.7 5.1 1.6 1 5.1 -1.5 1.4 0.2 - 1 4.8 -1.1 1.6 0.2 -1 5.7 -1.8 4.5 1.3 1 5.1 -1.8 1.6 0.2 -1 6.6 -1 4.4 1.4 1 6.4 -1.8 5.6 -1.1 -1 5.24 1.5 0.1 -1 6.4 -1.8 5.6 -1.2-1 7.7 -1.8 6.7 -1 -1 5.8 4.1.2 0.2 - 1 4.9 -1.1 1.5 0.1 -1 5.4 -1.7 1.5 0.2-1 5.1 -1.5 1.4 8.3 -1 6 -1.4 4.5 1.6 1 6.5 21 5.5 1.8 -1 5.5 -1.4 -1.8 1.1 1 7.2 -1.6 6.1 -1.5 -1 6.9 -1.1 5.1 -1.3 -1 6.2 1.9 4.3 1.3 1 6.5 -1.8 4.6 1.5 1 6 -1 4.8 1.8 -1 5.4 -1.4 1.7 0.2 -1 5.5 -1.6 4.4 1.2 1 6.7 -1 5.2 -1.3 -1 7.7 -1.8 6.7 -1.2 -1 5.1 -1.4 1.5 8.2-1 isang bt - Nord File Edit Format View Help 5.9 -1 4.2 1.5 1 6.9 -1.1 4.9 1.5 1 6.6 -1.9 4.6 1.3 1 4.6 -1.2 1.4 0.2-1 6-1.2 411 4.7 -1.2 1.3 0.2 -1 6.5 -1 5.8 -1.2 -1 5.8 -1.7 5.1 1.9 -1 6.7 -1.1 5.6 1.4 -1 6.7 -1.5 5.8 1.8 -1 5.1 -1.7 1.5 0.4 -1 5.1 -1.8 1.5 0.3 -1 5.7 -1 4.2 1.2 1 6.1 -1 4.9 1.8 - 1 4.9 -1.1 1.5 0.1 -1 5 -1.4 1.6 0.4 -1 5 -1.4 1.5 2.2 -1 5.7 -1.8 4.1 1.3 1 5 -1.3 1.4 0.2 - 1 7.2 -1.2 61.8 -1 5.9 -1 5.1 1.8 - 1 6.5 -15.2 -1 -1 5.7 4.4 1.5 0.4 -1 5.5 -1.5 4 1.3 1 4.9 -1.5 4.5 1.7 -1 5 -1.5 1.6 0.6 -1 5.5 -1.3 4 1.3 1 4.6 -1.1 1.5 0.2 -1 7.2 -1 5.8 1.6 -1 6.8 -1.2 5.9 -1.3 -1 5.4 -1.9 1.3 0.4 -1 5 -1.2 1.2 0.2 - 1 5.7 -1.5 5 -1 -1 5.8 -1.6 4 1.21 5.1 -1.5 -11.11 5.6 -1.5 -1.9 1.11 5.8 -1.7 4.111 5.1 -1.8 1.9 2.4 -1 6.3 -1.3 4.4 1.3 1 6.3 -1.5 5 1.9 -1 5.6 -1 4.5 1.5 1 6.1 -14.6 1.4 1 6.8 -1 5.5 -1.1 -1 7.3 -1.9 6.3 1.8 - 1 5.6 -1.7 4.2 1.3 1 4.8 -1 1.4 0.1 - 1 7.1 -1 5.9 -1.1 -1 5.7 -1.6 -1.5 1 1 5.3 -1.7 1.5 0.2 - 1 5.7 -1.8 1.7 0.3 -1 5.7 -1.9 4.2 1.3 1 5.6 -1.8 4.9 -1 -1 4.4 -1 1.3 0.2 -1 6.3 -1.3 6 -1.5 -1 5.4 -1.4 1.5 0.4 - 1 Training it - Notepad File Edit Format View Help 5.7 -1.6 -1.5 11 5.3 -1.7 1.5 0.2-1 5.7 -1.8 1.7 0.3--1 5.7 -1.9 4.2 1.3 1 5.6 -1.8 4.9 -1-1 4.4 -1 1.3 0.2 - 1 6.3 -1.3 6 -1.5 -1 3.4 -1.4 1.5 0.4 -1 6.3 -1.4 5.6 -1.4 -1 6.9 -1.1 5.4 -1.1 - 1 7.7 -16.1 -1.3 -1 6.1 -1.8 4.7 1.21 5.6 -1.9 -1.6 1.3 1 6.1 -1.6 5.6 1.4 - 1 6.4 -1.7 5.3 1.9 -1 5 -1.5 1.3 0.3 -1 5.1 -1.3 1.7 0.5-1 5.6 -1 4.1 1.3 1 5.4 -1.4.5 1.5 1 5.8 -1.8 5.1 -1.4 -1 4.9 -1.1 1.5 0.1 -1 4.6 -1.6 1 0.2-1 5.2 -1.4 1.4 8.2 - 1 7.9 -1.8 6.4 -1 -1 7.7 -1.6 6.9 -1.3 -1 6.1 -1.8 4 1.3 1 5.5 -1.5 1.3 0.2 - 1 4.6 -1.4 1.4 0.3 -1 4.7 -1.2 1.6 2.2 -1 4.4 -1.9 1.4 0.2 - 1 6.2 -1.8 4.8 1.8 -1 4.8 -1 1.4 0.3 -1 6 -1.9.4.5 1.5 1 6.2 -1.4 5.4 -1.3 -1 5 -1.3 -1.3 11 6.4 -1.2 4.5 1.5 1 6.3 -1.9 5.6 1.8 -1 6.7 -1 5 1.71 5-1 -1.5 1 1 5.9 -1.2 4.8 1.8 1 6.7 -1.3 5.7 -1.5 -1 5.4 -1.9 1.7 0.4 -1 6.3 -1.7 4.9 1.8 -1 4.8 -1.4 1.6 0.2 - 1 4.4 -1.2 1.3 0.2 - 1 6.4 -1.2 5.3 -1.3 -1 6.2 1.2 4.5 1.5 1 6 -1.25 1.5 -1 7.4 1.8 6.1 1.9 1 4.9 -1.4 -1.3 11 7 -1.2 4.7 1.4 1 5.5 -1.4 -1.7 11 6.3 -1.3 4.7 1.6 1