multi class ์ฑ๋ฅํ๊ฐ (binary classfication์์ ์์ ๋์ด์ผ ํจ ๋น์ฐํ์ง๋ง)
- multi class accuracy
- multi class precision
- multi class recall
- multi class f1 score
What is a Confusion Matrix in Machine Learning
Make the Confusion Matrix Less Confusing. A confusion matrix is a technique for summarizing the performance of a classification algorithm. Classification accuracy alone can be misleading if you have an unequal number of observations in each class or if you
machinelearningmastery.com
* ์ถ๊ฐ์๋ฃ
towardsdatascience.com/confusion-matrix-for-your-multi-class-machine-learning-model-ff9aa3bf7826
Confusion Matrix for Your Multi-Class Machine Learning Model
A beginnerโs guide on how to calculate Precision, Recall, F1-score for a multi-class classification problem.
towardsdatascience.com
Spark - Multiclass classification
โก ์ฐธ๊ณ ๋ด์ฉ โถ True Positive (TP) - ์ค์ ์์์ด๋ฉฐ, ์์ธก๋ ์์ โถ True Negative (TN) - ์ค์ ์์์ด๋ฉฐ, ์์ธก๋ ์์ โถ False Positive (FP) - ์ค์ ์์์ด๋ฉฐ, ์์ธก์ ์์ โถ False Negative (FN) - ์ค์ ..
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'๐ > ๋จธ์ ๋ฌ๋ (ML)' ์นดํ ๊ณ ๋ฆฌ์ ๋ค๋ฅธ ๊ธ
| [ML] Gradient Boosting (GBM) (6) | 2021.02.09 |
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| [ML] ๋๋ค ํฌ๋ ์คํธ (random forest) (0) | 2020.10.10 |
| [ML] ๋ก์ง์คํฑ ํ๊ท (0) | 2020.10.10 |
| [ML] SVM (0) | 2020.10.10 |