diff --git a/preset_plot_rocs.py b/preset_plot_rocs.py
index 9aa742a..bf9fa7d 100644
--- a/preset_plot_rocs.py
+++ b/preset_plot_rocs.py
@@ -79,7 +79,7 @@ for preset in PRESETS:
     roc_auc = auc(fpr, tpr)
 
     # Plot the ROC curve
-    plt.plot(fpr, tpr, lw=2, label=f'{MODEL.capitalize()}-{preset}: ROC curve (%Acc = {tp/len(cases):0.2f}; AUC = {roc_auc:0.2f})')
+    plt.plot(fpr, tpr, lw=2, label=f'{MODEL.split("-")[1].capitalize()}-{preset}: ROC curve (%Acc = {tp/len(cases):0.2f}; AUC = {roc_auc:0.2f})')
     plt.scatter(fpr[ix], tpr[ix], marker='o', color='black')#, label=model.capitalize() + ': Best @ threshold = %0.2f' % thresholds[ix])
 
 plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--', label="Random classifier")
diff --git a/test_zippy_detect.py b/test_zippy_detect.py
index 1c098b5..af87622 100644
--- a/test_zippy_detect.py
+++ b/test_zippy_detect.py
@@ -17,20 +17,30 @@ human_files = os.listdir(HUMAN_SAMPLE_DIR)
 CONFIDENCE_THRESHOLD : float = 0.00 # What confidence to treat as error vs warning
 
 # Bool on whether to ensemble the models or run a single model
-ENSEMBLE = True
+ENSEMBLE = False
 
 if not ENSEMBLE:
     # What compression engine to use for the test
     ENGINE = CompressionEngine.LZMA
 
-    if ENGINE == CompressionEngine.LZMA:
-        PRELUDE_RATIO = LzmaLlmDetector(prelude_str=PRELUDE_STR).prelude_ratio
-    elif ENGINE == CompressionEngine.ZLIB:
-        PRELUDE_RATIO = ZlibLlmDetector(prelude_str=PRELUDE_STR).prelude_ratio
-    elif ENGINE == CompressionEngine.BROTLI:
-        PRELUDE_RATIO = BrotliLlmDetector(prelude_str=PRELUDE_STR).prelude_ratio
-
-    zippy = Zippy(ENGINE)
+    if os.environ.get('ZIPPY_PRESET') != None:
+        if ENGINE == CompressionEngine.LZMA:
+            PRELUDE_RATIO = LzmaLlmDetector(prelude_str=PRELUDE_STR, preset=int(os.environ.get('ZIPPY_PRESET'))).prelude_ratio
+        elif ENGINE == CompressionEngine.ZLIB:
+            PRELUDE_RATIO = ZlibLlmDetector(prelude_str=PRELUDE_STR, preset=int(os.environ.get('ZIPPY_PRESET'))).prelude_ratio
+        elif ENGINE == CompressionEngine.BROTLI:
+            PRELUDE_RATIO = BrotliLlmDetector(prelude_str=PRELUDE_STR, preset=int(os.environ.get('ZIPPY_PRESET'))).prelude_ratio
+    else:
+        if ENGINE == CompressionEngine.LZMA:
+            PRELUDE_RATIO = LzmaLlmDetector(prelude_str=PRELUDE_STR).prelude_ratio
+        elif ENGINE == CompressionEngine.ZLIB:
+            PRELUDE_RATIO = ZlibLlmDetector(prelude_str=PRELUDE_STR).prelude_ratio
+        elif ENGINE == CompressionEngine.BROTLI:
+            PRELUDE_RATIO = BrotliLlmDetector(prelude_str=PRELUDE_STR).prelude_ratio
+    if os.environ.get('ZIPPY_PRESET') != None:
+        zippy = Zippy(ENGINE, preset=int(os.environ.get('ZIPPY_PRESET')))
+    else:
+        zippy = Zippy(ENGINE)
 
 else:
     zippy = EnsembledZippy()