sklearn explained in classification_report

classification_report

sklearn in classification_report function for displaying text reporting major categories of indicators. The accuracy of the display information of each class, recall, and other values ​​in the Fl report.
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precision (accuracy): concern for all samples is predicted to be positive (negative) of how much of a positive (negative).
recall (recall): Focus on all real positive (negative) number of samples to be accurately predicted out.
f1-score: mean both.
supprot: the number of occurrences of each tag.
avg / total average behavior of each column (as the sum of Support).
Reference the URL of: https://blog.csdn.net/houyanhua1/article/details/87968953

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