Precision, Recall and TNR

Precision, Recall and TNR

This is just to show simple way to remember!!!!


Confusion Matrix

Recall : This is also called as Sensitivity or True Positive Rate (TPR) .

Based on the above image shows the arrow passing through TP and FN, and since it is True positive rate, then the numerator is TP and the denominator is the values through which recall arrow is passing (i.e., TP and FN)

Precision :

Based on the above image shows the arrow passing through TP and FP, and since it is calculated for ture predictions , then the numerator is TP and the denominator is the values through which precision arrow is passing (i.e., TP and FP)

True Negative Rate (TNR) : It is also called as Specificity.

Based on the above image shows the arrow passing through TN and FP, and since it is True Negative Rate, then the numerator is TN and the denominator is the values through which TNR arrow is passing (i.e., TN and FP)

Hope this could be helpful ??


要查看或添加评论,请登录

Ruvva Poojitha的更多文章

  • Agile methodology (A real LIFE cycle)

    Agile methodology (A real LIFE cycle)

    Agile methodology is not just a methodology used for project management or software testing or software development…

  • Confusing confusion matrix ??

    Confusing confusion matrix ??

    Lets all know, who invented this confusion?? matrix. Karl Pearson invented the confusion matrix in the year 1904, where…

  • Deep Learning (Part 2)

    Deep Learning (Part 2)

    Hope everyone read part 1 of the deep learning(i.e.

    1 条评论
  • Uff... Overfitting & Underfitting !???

    Uff... Overfitting & Underfitting !???

    You may think that this is just overfitting and underfitting right!! But, sometimes when the professor asks us about…

  • K-Means & KNN in my life ????....

    K-Means & KNN in my life ????....

    KNN (K-Nearest Neighbors) KNN is a supervised learning algorithm, which is used for classifying the data based on its…

    5 条评论
  • Story of central tendency methods and their circumstances :(

    Story of central tendency methods and their circumstances :(

    In statistics, central tendency describes a central or representative value in a probability distribution. There are 3…

  • Understanding Deep Learning : A 1-Minute Overview

    Understanding Deep Learning : A 1-Minute Overview

    Deep learning is a subset of most familiar machine learning ,that focuses on using neural networks to model and…

    2 条评论

社区洞察

其他会员也浏览了