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Project Summary

In the field of machine learning and specifically the problem of statistical classification, a confusion matrix, also known as an error matrix, is a specific table layout that allows visualization of the performance of an algorithm, typically a supervised learning one (in unsupervised learning it is usually called a matching matrix). Each row of the matrix represents the instances in a predicted class while each column represents the instances in an actual class (or vice versa) pycm(python confusion matrix) is a multi class confusion matrix library in python.

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ai algorithms artificial_intelligence classification classifiers confusion-matrix data datamining intelligent_data_analysis machine_learning machine-learning mathematics ml multi-class statistics

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Project Security

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About Project Security

Languages

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HTML
42%
Python
57%
2 Other
1%

30 Day Summary

Feb 27 2020 — Mar 28 2020

12 Month Summary

Mar 28 2019 — Mar 28 2020
  • 780 Commits
    Down -331 (29%) from previous 12 months
  • 12 Contributors
    Up + 4 (50%) from previous 12 months