add performance table

README.md

@@ -8,3 +8,27 @@ pipeline_tag: text-classification
 # PopBERT
 
 inital commit
+
+
+# Performance
+
+This table presents the classification report for a 5-fold
+  cross-validation of our model. The hyperparameters are consistent
+  across all 5 runs. The final and published model was then trained on
+  all data with the same hyperparameters. It is evident that the model
+  performs, on average, best for anti-elitism but performs the worst for
+  the detection of right-wing host ideology. The relatively small
+  standard deviations suggest that the split into training and test data
+  has minimal impact on model performance. Therefore, it is expected
+  that the performance of the final model will be comparable to what is
+  depicted here.
+
+| Dimension           | Precision     | Recall        | F1            |
+|---------------------|---------------|---------------|---------------|
+| Anti-Elitism        | 0.812 (0.013) | 0.885 (0.006) | 0.847 (0.007) |
+| People-Centrism     | 0.670 (0.011) | 0.725 (0.040) | 0.696 (0.019) |
+| Left-Wing Ideology  | 0.664 (0.023) | 0.771 (0.024) | 0.713 (0.010) |
+| Right-Wing Ideology | 0.654 (0.029) | 0.698 (0.050) | 0.674 (0.031) |
+|                     |               |               |               |
+| micro avg           | 0.732 (0.009) | 0.805 (0.006) | 0.767 (0.007) |
+| macro avg           | 0.700 (0.011) | 0.770 (0.010) | 0.733 (0.010) |