feat: renamed json files

benchmark/blobs_benchmark_visualiser.py

@@ -50,7 +50,7 @@ def print_metrics_table(data: dict, sample_size: str) -> None:
 def main() -> None:
     """Load the data and print metrics in table format per sample size."""
     # Load the JSON data
-    with open("coreset_comparison_results.json", encoding="utf-8") as f:
+    with open("blobs_benchmark_results.json", encoding="utf-8") as f:
         data = json.load(f)
 
     # Print tables for each sample size

benchmark/mnist_benchmark.py

@@ -444,7 +444,7 @@ def train_model(data_bundle: dict, key, config) -> dict:
 
 def save_results(results: dict) -> None:
     """Save results to JSON."""
-    with open("benchmark_results.json", "w", encoding="utf-8") as f:
+    with open("mnist_benchmark_results.json", "w", encoding="utf-8") as f:
         json.dump(results, f, indent=4)
 
     print("Data has been saved to 'benchmark_results.json'")
@@ -500,7 +500,7 @@ def main() -> None:
                     results[name][size] = {}
 
                     # Store accuracy result in nested structure
-                results[name][size][i] = result["final_test_accuracy"]
+                results[name][size][i] = float(result["final_test_accuracy"])
 
     save_results(results)
 

benchmark/mnist_benchmark_results.json

@@ -0,0 +1,8 @@
+{
+    "RandomSample": {
+        "25": {
+            "0": 0.4541817307472229,
+            "1": 0.5102042555809021
+        }
+    }
+}

benchmark/mnist_benchmark_visualiser.py

@@ -22,7 +22,7 @@
 
 def main() -> None:
     """Load benchmark results and visualize the algorithm performance."""
-    with open("benchmark_results.json", "r", encoding="utf-8") as file:
+    with open("mnist_benchmark_results.json", "r", encoding="utf-8") as file:
         # Load the JSON data into a Python object
         data_by_solver = json.load(file)