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summary.json

@@ -1,7 +1,7 @@
 {
-  "winner_classifier": "MLP",
+  "winner": "MLP",
   "best_params": {
-    "activation": "tanh",
+    "activation": "relu",
     "alpha": 0.001,
     "hidden_layer_sizes": [
       50,
@@ -11,11 +11,9 @@
     "learning_rate": "constant",
     "solver": "adam"
   },
-  "n_features": 9,
-  "features": [
-    "cosine_tfidf_c",
+  "all_features": [
     "cosine_tfidf_w",
-    "bm25_score",
+    "cosine_sbert_ft",
     "same_component",
     "same_priority",
     "same_version",
@@ -24,20 +22,13 @@
     "log_time_diff"
   ],
   "test": {
-    "F1": 0.985632183908046,
-    "Precision": 0.9956458635703919,
-    "Recall": 0.9758179231863442,
-    "Accuracy": 0.9945945945945946
+    "P": 0.9971305595408895,
+    "R": 0.9886201991465149,
+    "F1": 0.9928571428571429,
+    "Acc": 0.9972972972972973
   },
   "efficiency": {
-    "ms_per_report_OK_batch": 1866.907,
-    "ms_per_pair_batched": 37.3381,
-    "K_retrieval": 50,
-    "N_corpus_for_ON": 31916
-  },
-  "split": {
-    "train": 11840,
-    "val": 2960,
-    "test": 3700
+    "ms_per_report": 1877.589,
+    "throughput_pairs_per_sec": 26.63
   }
 }