Python Programming

Now, let’s put everything you have learnt about regular expressions into practice.

You are given some challenging “real-world” problems with noisy texts, and your task is to use regular expressions to extract the desired information.

Some of these may end up being pretty hacky, but that is how it is with using regular expressions in practice.

Challenge 1: I love experiments

Download these two files:

• classification1.txt
• classification2.txt

These are results from scikit-learn’s classification_report() for two classifiers evaluated on different datasets.

Task 1

First load the report content of the file.

Then extract the classification accuracy from the report content using regular expressions.

Test this on both classification1.txt and classification2.txt. The accuracy should be 0.89 and 0.85 respectively.

Task 2

Extract the f1-score per class from the same report content using regular expressions. Print out the f1-scores in the following format (example for classification2.txt):

f1-score for class 0 = 0.88
f1-score for class 1 = 0.82
f1-score for class 2 = 0.87
f1-score for class 3 = 0.82
f1-score for class 4 = 0.83