As nice as it might be to see a couple of numbers to describe the accuracy of a model, it doesn't always tell the full story. Depending on the values we're looking to predict, we may need to understand a little bit more about a model's weaknesses. Fortunately, scikit-learn offers ways to dig into where things aren't behaving quite as well as we might expect, so we can get further insights into what predicted values might mean.
Watch the Python for Beginner series here: https://aka.ms/PythonBeginnerSeries
For the Full 'Intro to Python' course on Microsoft Learn: https://aka.ms/MSLearnPython
All video content will available at: https://github.com/microsoft/c9-python-getting-started/
First series: https://github.com/microsoft/c9-python-getting-started/tree/master/python-for-beginners
Second series: https://github.com/microsoft/c9-python-getting-started/tree/master/more-python-for-beginners
Third series: https://github.com/microsoft/c9-python-getting-started/tree/master/even-more-python-for-beginners-data-tools
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