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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

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HTML
39%
Python
60%
3 Other
1%

30 Day Summary

Mar 19 2021 — Apr 18 2021

12 Month Summary

Apr 18 2020 — Apr 18 2021
  • 411 Commits
    Down -355 (46%) from previous 12 months
  • 9 Contributors
    Down -4 (30%) from previous 12 months