English → Arabic
confusion matrix in Arabic
- Pronunciation
- muṣfūfat al-irtibāk
- Arabizi
musfoofa al-irtibak- Type
- noun · feminine
- Root
- ص ف و
How to use it
A confusion matrix (مصفوفة الارتباك) is a table used in machine learning to show how many instances of each class were correctly or incorrectly predicted. It helps diagnose which classes are confused with each other.
Example sentences
-
اِسْتَخْدَمْتُ مُصْفُوفَةَ الارتِبَاكِ لِتَقْيِيمِ النَّمُوذَجِ.
istaḵdamtu muṣfūfata al-irtibāki li-taqyīmi al-namūdhaji.
I used a confusion matrix to evaluate the model.
-
تُظهرُ مُصْفُوفَةُ الارتِبَاكِ أَخْطَاءً فِي التَّصْنِيفِ.
tuzhhiru muṣfūfatu al-irtibāki akhṭāʾan fī al-taṣnīfi.
The confusion matrix shows classification errors.
-
قَدِّمَ البَاحِثُ تَحْلِيلًا مُفَصَّلًا لِمُصْفُوفَةِ الارتِبَاكِ.
qaddama al-bāḥithu taḥlīlan mufāṣṣalan li-muṣfūfati al-irtibāki.
The researcher presented a detailed analysis of the confusion matrix.
Questions and answers
What do the rows and columns represent?
Rows usually show the actual classes, columns the predicted ones.
Is a confusion matrix only for binary classification?
No, it can be extended to any number of classes.
Updated