feat: Fix the stacking order of the models

app.py

@@ -391,6 +391,25 @@ def produce_radial_plot(
                 result_list.append(np.mean(scores))
         results.append(result_list)
 
+    # Get a matrix of shape [num_models, num_tasks], where entry (i, j) indicates how
+    # many models that model i has beaten on task j
+    result_matrix = np.array(results)
+    num_models = result_matrix.shape[0]
+    num_tasks = result_matrix.shape[1]
+    num_models_beaten = np.zeros((num_models, num_tasks))
+    for i in range(num_models):
+        for j in range(num_tasks):
+            num_models_beaten[i, j] = np.sum(
+                result_matrix[i, j] > result_matrix[:, j]
+            )
+
+    # Sort the models (and their results) such that the model who beats most other
+    # models first. This will result in the "smaller areas" being on top of the "larger
+    # areas", which is more aesthetically pleasing.
+    sorted_idxs = num_models_beaten.sum(axis=1).argsort()[::-1]
+    model_ids = np.asarray(model_ids)[sorted_idxs].tolist()
+    results = result_matrix[sorted_idxs].tolist()
+
     # Add the results to a plotly figure
     fig = go.Figure()
     for model_id, result_list in zip(model_ids, results):