opale-ai
/

news-classifier

Tabular Classification

Model card Files Files and versions

Ali Kefia commited on Jun 27, 2025

Commit

d3733b4

·

1 Parent(s): f2f47ac

README

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -61,7 +61,7 @@ The goal of this second test is to evaluate whether this approach improves class
 Below is the confusion matrix for the second test:
-![Confusion Matrix](out/confusion_matrix.png)
 - **Accuracy**: (16 + 18) / (16 + 6 + 4 + 18) = **77.3%**
 - **Precision (Relevant)**: 18 / (18 + 6) = **75.0%**
@@ -73,7 +73,7 @@ Compared to Test 1, this version shows a slight improvement in both **accuracy**
 For this test, I also generated the ROC curve:
-![ROC Curve](out/roc_curve.png)
 The curve appears to have a stepped shape, which is expected due to the **limited number of test samples**. As a result, it’s difficult to draw strong conclusions from the ROC curve alone.

 Below is the confusion matrix for the second test:
+![Confusion Matrix](imgs/confusion_matrix.png)
 - **Accuracy**: (16 + 18) / (16 + 6 + 4 + 18) = **77.3%**
 - **Precision (Relevant)**: 18 / (18 + 6) = **75.0%**
 For this test, I also generated the ROC curve:
+![ROC Curve](imgs/roc_curve.png)
 The curve appears to have a stepped shape, which is expected due to the **limited number of test samples**. As a result, it’s difficult to draw strong conclusions from the ROC curve alone.