Taiwanese Bankruptcy Predictor Pt. 2

Photo by Adeolu Eletu on Unsplash

*THIS IS A CONTINUATION TO MY ARTICLE HERE: LINK

Once I found the Top 50 features, I scaled everything down to achieve a higher accuracy with values being more alike. After scaling the data to a standard format, I conducted a test-train split. 75% of the data was used for the training data and the other remaining 25% become the test data.

I then performed a logistic regression and SVC to compare results. A classification report was used on each to verify results. The machine yielded adequate results between 96% and 97% in the slight favor of SVC. This suggests that it can predict the likelihood of a company going sinking to the bottom of the financial sea with more accuracy than logistic regression.

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R.E. BLKZEN Wilkinson

R.E. BLKZEN Wilkinson

An innovative, content creator and young CEO who uses the languages of Music and Data to help the world become a better place.