diff --git a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/comparisons.py b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/comparisons.py
index ed6e702..44aeb60 100644
--- a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/comparisons.py
+++ b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/comparisons.py
@@ -249,12 +249,26 @@ def multiple_runs(runs=10):
     results.to_csv(cleaned_csv_file, index=False)
 
     # Plot the results using the cleaned DataFrame
-    """
     multi_plot_results(
         results_csv_file=cleaned_csv_file,
         filter={}, 
-        subplot_rows=1,
+        subplot_rows=2,
         subplot_cols=3,
+        x_field="graph_nodes", 
+        y_field="Nodes_Saved", 
+        z_field="algorithm", 
+        subplot_field="Budget",
+        sharex=True,
+        sharey=True,
+        mean=True,
+        save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_budget.png"
+    )
+
+    multi_plot_results(
+        results_csv_file=cleaned_csv_file,
+        filter={"graph_nodes":100}, 
+        subplot_rows=3,
+        subplot_cols=1,
         x_field="Budget", 
         y_field="Nodes_Saved", 
         z_field="algorithm", 
@@ -262,24 +276,38 @@ def multiple_runs(runs=10):
         sharex=True,
         sharey=True,
         mean=True,
-        save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_edge_prob.png"
-    )"""
+        save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_100_edge_prob.png"
+    )
 
     multi_plot_results(
         results_csv_file=cleaned_csv_file,
-        filter={}, 
-        subplot_rows=2,
-        subplot_cols=3,
-        x_field="graph_nodes", 
+        filter={"graph_nodes":200}, 
+        subplot_rows=3,
+        subplot_cols=1,
+        x_field="Budget", 
         y_field="Nodes_Saved", 
         z_field="algorithm", 
-        subplot_field="Budget",
+        subplot_field="edge_probability",
         sharex=True,
         sharey=True,
         mean=True,
-        save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_budget.png"
+        save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_200_edge_prob.png"
     )
 
+    multi_plot_results(
+        results_csv_file=cleaned_csv_file,
+        filter={"graph_nodes":400}, 
+        subplot_rows=3,
+        subplot_cols=1,
+        x_field="Budget", 
+        y_field="Nodes_Saved", 
+        z_field="algorithm", 
+        subplot_field="edge_probability",
+        sharex=True,
+        sharey=True,
+        mean=True,
+        save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_400_edge_prob.png"
+    )
 
     print("\n DataFrame-NonSpread: \n", ex2.dataFrame)
 
diff --git a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave.csv b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave.csv
index 9d19a75..402ba53 100644
--- a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave.csv
+++ b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave.csv
@@ -1,1082 +1,1082 @@
 algorithm,runtime,Budget,graph_nodes,edge_probability,Nodes_Saved
-spreading_maxsave,0.09264339995570481,1,100,0.1,20
-heuristic_maxsave,0.040203799959272146,1,100,0.1,17
-spreading_maxsave,0.1724396999925375,2,100,0.1,27
-heuristic_maxsave,0.03794840001501143,2,100,0.1,24
-spreading_maxsave,0.1425126999965869,3,100,0.1,32
-heuristic_maxsave,0.04040630004601553,3,100,0.1,30
-spreading_maxsave,0.16466579999541864,5,100,0.1,40
-heuristic_maxsave,0.04005390004022047,5,100,0.1,40
-spreading_maxsave,0.2110122999874875,7,100,0.1,41
-heuristic_maxsave,0.028694999986328185,7,100,0.1,41
-spreading_maxsave,0.2944994999561459,10,100,0.1,41
-heuristic_maxsave,0.01727830001618713,10,100,0.1,41
-spreading_maxsave,0.07911990000866354,1,100,0.1,7
-heuristic_maxsave,0.0292259999550879,1,100,0.1,7
-spreading_maxsave,0.09824489994207397,2,100,0.1,9
-heuristic_maxsave,0.04382869997061789,2,100,0.1,9
-spreading_maxsave,0.1321790999500081,3,100,0.1,9
-heuristic_maxsave,0.044759999960660934,3,100,0.1,11
-spreading_maxsave,0.15628419996937737,5,100,0.1,11
-heuristic_maxsave,0.04101359995547682,5,100,0.1,11
-spreading_maxsave,0.24242660001618788,7,100,0.1,11
-heuristic_maxsave,0.041445599985308945,7,100,0.1,11
-spreading_maxsave,0.22384240000974387,10,100,0.1,11
-heuristic_maxsave,0.016689600015524775,10,100,0.1,11
-spreading_maxsave,0.08411930000875145,1,100,0.1,19
-heuristic_maxsave,0.028105299978051335,1,100,0.1,17
-spreading_maxsave,0.10869299998739734,2,100,0.1,27
-heuristic_maxsave,0.03825919999508187,2,100,0.1,28
-spreading_maxsave,0.11994180001784116,3,100,0.1,33
-heuristic_maxsave,0.10312139999587089,3,100,0.1,33
-spreading_maxsave,0.16495420003775507,5,100,0.1,38
-heuristic_maxsave,0.047711600025650114,5,100,0.1,41
-spreading_maxsave,0.19130890001542866,7,100,0.1,40
-heuristic_maxsave,0.038614200020674616,7,100,0.1,41
-spreading_maxsave,0.23021830001380295,10,100,0.1,41
-heuristic_maxsave,0.019375799980480224,10,100,0.1,41
-spreading_maxsave,0.1896415000082925,1,100,0.1,21
-heuristic_maxsave,0.03282650001347065,1,100,0.1,18
-spreading_maxsave,0.121705400000792,2,100,0.1,31
-heuristic_maxsave,0.0427724999608472,2,100,0.1,30
-spreading_maxsave,0.15094600000884384,3,100,0.1,38
-heuristic_maxsave,0.0453863000147976,3,100,0.1,36
-spreading_maxsave,0.20308449998265132,5,100,0.1,45
-heuristic_maxsave,0.05758359999163076,5,100,0.1,43
-spreading_maxsave,0.29872449999675155,7,100,0.1,45
-heuristic_maxsave,0.04064029996516183,7,100,0.1,48
-spreading_maxsave,0.2516182999825105,10,100,0.1,48
-heuristic_maxsave,0.016990500036627054,10,100,0.1,48
-spreading_maxsave,0.07848939998075366,1,100,0.1,22
-heuristic_maxsave,0.03398339997511357,1,100,0.1,18
-spreading_maxsave,0.11097430001245812,2,100,0.1,31
-heuristic_maxsave,0.041641200019512326,2,100,0.1,30
-spreading_maxsave,0.1381746999686584,3,100,0.1,37
-heuristic_maxsave,0.03621019999263808,3,100,0.1,34
-spreading_maxsave,0.2528164000250399,5,100,0.1,45
-heuristic_maxsave,0.043102200026623905,5,100,0.1,45
-spreading_maxsave,0.19939890003297478,7,100,0.1,45
-heuristic_maxsave,0.02684230002341792,7,100,0.1,47
-spreading_maxsave,0.24125069996807724,10,100,0.1,47
-heuristic_maxsave,0.020268899970687926,10,100,0.1,47
-spreading_maxsave,0.0854721000068821,1,100,0.1,17
-heuristic_maxsave,0.08363900001859292,1,100,0.1,17
-spreading_maxsave,0.1281881000031717,2,100,0.1,23
-heuristic_maxsave,0.03755450004246086,2,100,0.1,21
-spreading_maxsave,0.12546589999692515,3,100,0.1,27
-heuristic_maxsave,0.03962869994575158,3,100,0.1,26
-spreading_maxsave,0.15662339999107644,5,100,0.1,28
-heuristic_maxsave,0.03828159999102354,5,100,0.1,28
-spreading_maxsave,0.18810999998822808,7,100,0.1,28
-heuristic_maxsave,0.03090790001442656,7,100,0.1,28
-spreading_maxsave,0.30125720001524314,10,100,0.1,28
-heuristic_maxsave,0.017838000028859824,10,100,0.1,28
-spreading_maxsave,0.08552369999233633,1,100,0.1,16
-heuristic_maxsave,0.027769100037403405,1,100,0.1,13
-spreading_maxsave,0.10068610002053902,2,100,0.1,21
-heuristic_maxsave,0.04423470003530383,2,100,0.1,20
-spreading_maxsave,0.13356990000465885,3,100,0.1,24
-heuristic_maxsave,0.04479429998900741,3,100,0.1,24
-spreading_maxsave,0.16404090001014993,5,100,0.1,26
-heuristic_maxsave,0.11668720003217459,5,100,0.1,28
-spreading_maxsave,0.2050693000201136,7,100,0.1,28
-heuristic_maxsave,0.03429629997117445,7,100,0.1,28
-spreading_maxsave,0.2218876999686472,10,100,0.1,28
-heuristic_maxsave,0.018068499979563057,10,100,0.1,28
-spreading_maxsave,0.0791377000277862,1,100,0.1,22
-heuristic_maxsave,0.03288170002633706,1,100,0.1,18
-spreading_maxsave,0.11803869996219873,2,100,0.1,28
-heuristic_maxsave,0.03512120002415031,2,100,0.1,27
-spreading_maxsave,0.20721060002688318,3,100,0.1,34
-heuristic_maxsave,0.038679499994032085,3,100,0.1,31
-spreading_maxsave,0.15918879996752366,5,100,0.1,40
-heuristic_maxsave,0.038708899985067546,5,100,0.1,42
-spreading_maxsave,0.1918314999784343,7,100,0.1,41
-heuristic_maxsave,0.030896300042513758,7,100,0.1,42
-spreading_maxsave,0.2564983000047505,10,100,0.1,42
-heuristic_maxsave,0.016630299971438944,10,100,0.1,42
-spreading_maxsave,0.08528659999137744,1,100,0.1,20
-heuristic_maxsave,0.09624330000951886,1,100,0.1,17
-spreading_maxsave,0.10583610000321642,2,100,0.1,28
-heuristic_maxsave,0.0456774000194855,2,100,0.1,25
-spreading_maxsave,0.1242167999735102,3,100,0.1,32
-heuristic_maxsave,0.044346700015012175,3,100,0.1,32
-spreading_maxsave,0.1609852000256069,5,100,0.1,35
-heuristic_maxsave,0.04948240000521764,5,100,0.1,38
-spreading_maxsave,0.20154020003974438,7,100,0.1,36
-heuristic_maxsave,0.04003180004656315,7,100,0.1,38
-spreading_maxsave,0.30389099998865277,10,100,0.1,38
-heuristic_maxsave,0.01662499998928979,10,100,0.1,38
-spreading_maxsave,0.07889300002716482,1,100,0.1,6
-heuristic_maxsave,0.028290099988225847,1,100,0.1,6
-spreading_maxsave,0.11584990000119433,2,100,0.1,7
-heuristic_maxsave,0.054743300017435104,2,100,0.1,7
-spreading_maxsave,0.15051259996835142,3,100,0.1,7
-heuristic_maxsave,0.037892799999099225,3,100,0.1,7
-spreading_maxsave,0.19848099997034296,5,100,0.1,7
-heuristic_maxsave,0.1585027999826707,5,100,0.1,7
-spreading_maxsave,0.1958219999796711,7,100,0.1,7
-heuristic_maxsave,0.057839600020088255,7,100,0.1,7
-spreading_maxsave,0.2325820999685675,10,100,0.1,7
-heuristic_maxsave,0.016186999971978366,10,100,0.1,7
-spreading_maxsave,0.07914949994301423,1,100,0.5,6
-heuristic_maxsave,0.037611299951095134,1,100,0.5,6
-spreading_maxsave,0.09512509999331087,2,100,0.5,6
-heuristic_maxsave,0.10829579998971894,2,100,0.5,8
-spreading_maxsave,0.14736010000342503,3,100,0.5,7
-heuristic_maxsave,0.06443410000065342,3,100,0.5,9
-spreading_maxsave,0.11343999998643994,5,100,0.5,9
-heuristic_maxsave,0.07391999999526888,5,100,0.5,11
-spreading_maxsave,0.13966419995995238,7,100,0.5,11
-heuristic_maxsave,0.08616110001457855,7,100,0.5,12
-spreading_maxsave,0.18415939999977127,10,100,0.5,12
-heuristic_maxsave,0.10774150001816452,10,100,0.5,12
-spreading_maxsave,0.13326370000140741,1,100,0.5,2
-heuristic_maxsave,0.05065879999892786,1,100,0.5,3
-spreading_maxsave,0.08348259999183938,2,100,0.5,3
-heuristic_maxsave,0.04046109999762848,2,100,0.5,3
-spreading_maxsave,0.08759840001584962,3,100,0.5,3
-heuristic_maxsave,0.06341750000137836,3,100,0.5,3
-spreading_maxsave,0.12976939999498427,5,100,0.5,3
-heuristic_maxsave,0.06719319999683648,5,100,0.5,3
-spreading_maxsave,0.14357139996718615,7,100,0.5,3
-heuristic_maxsave,0.07686199998715892,7,100,0.5,3
-spreading_maxsave,0.25541769998380914,10,100,0.5,3
-heuristic_maxsave,0.09940649999771267,10,100,0.5,3
-spreading_maxsave,0.07452480000210926,1,100,0.5,13
-heuristic_maxsave,0.04439380002440885,1,100,0.5,13
-spreading_maxsave,0.08658019994618371,2,100,0.5,17
-heuristic_maxsave,0.05394670000532642,2,100,0.5,18
-spreading_maxsave,0.101842200034298,3,100,0.5,18
-heuristic_maxsave,0.05485909996787086,3,100,0.5,19
-spreading_maxsave,0.12636350002139807,5,100,0.5,20
-heuristic_maxsave,0.07083819998661056,5,100,0.5,21
-spreading_maxsave,0.1659184999880381,7,100,0.5,22
-heuristic_maxsave,0.17746199999237433,7,100,0.5,23
-spreading_maxsave,0.21211319998838007,10,100,0.5,25
-heuristic_maxsave,0.1164060999872163,10,100,0.5,26
-spreading_maxsave,0.06708639999851584,1,100,0.5,8
-heuristic_maxsave,0.03373610001290217,1,100,0.5,7
-spreading_maxsave,0.09185179998166859,2,100,0.5,9
-heuristic_maxsave,0.04833290004171431,2,100,0.5,10
-spreading_maxsave,0.09551060001831502,3,100,0.5,10
-heuristic_maxsave,0.05922739999368787,3,100,0.5,11
-spreading_maxsave,0.21738929999992251,5,100,0.5,12
-heuristic_maxsave,0.06047769996803254,5,100,0.5,13
-spreading_maxsave,0.15219200000865385,7,100,0.5,14
-heuristic_maxsave,0.08584679994964972,7,100,0.5,15
-spreading_maxsave,0.19815190002555028,10,100,0.5,15
-heuristic_maxsave,0.10652319999644533,10,100,0.5,15
-spreading_maxsave,0.06955340004060417,1,100,0.5,18
-heuristic_maxsave,0.03844149998622015,1,100,0.5,18
-spreading_maxsave,0.09634029999142513,2,100,0.5,24
-heuristic_maxsave,0.11971539998194203,2,100,0.5,24
-spreading_maxsave,0.11265660001663491,3,100,0.5,25
-heuristic_maxsave,0.07847190002212301,3,100,0.5,25
-spreading_maxsave,0.13774739997461438,5,100,0.5,27
-heuristic_maxsave,0.0720564000075683,5,100,0.5,27
-spreading_maxsave,0.16271629999391735,7,100,0.5,29
-heuristic_maxsave,0.09227580000879243,7,100,0.5,29
-spreading_maxsave,0.19597330002579838,10,100,0.5,32
-heuristic_maxsave,0.1507014000089839,10,100,0.5,32
-spreading_maxsave,0.06166130001656711,1,100,0.5,1
-heuristic_maxsave,0.03342469997005537,1,100,0.5,1
-spreading_maxsave,0.08673779998207465,2,100,0.5,1
-heuristic_maxsave,0.03907270001946017,2,100,0.5,1
-spreading_maxsave,0.09393069997895509,3,100,0.5,1
-heuristic_maxsave,0.05462940002325922,3,100,0.5,1
-spreading_maxsave,0.11980009998660535,5,100,0.5,1
-heuristic_maxsave,0.061891700024716556,5,100,0.5,1
-spreading_maxsave,0.1453534999745898,7,100,0.5,1
-heuristic_maxsave,0.07915720000164583,7,100,0.5,1
-spreading_maxsave,0.26109729998279363,10,100,0.5,1
-heuristic_maxsave,0.11786310002207756,10,100,0.5,1
-spreading_maxsave,0.0952823999687098,1,100,0.5,13
-heuristic_maxsave,0.04394989996217191,1,100,0.5,12
-spreading_maxsave,0.09882840001955628,2,100,0.5,17
-heuristic_maxsave,0.07305240002460778,2,100,0.5,16
-spreading_maxsave,0.11832959996536374,3,100,0.5,18
-heuristic_maxsave,0.07101080002030358,3,100,0.5,18
-spreading_maxsave,0.15621939999982715,5,100,0.5,20
-heuristic_maxsave,0.08288860000902787,5,100,0.5,20
-spreading_maxsave,0.26426669995998964,7,100,0.5,22
-heuristic_maxsave,0.11001940001733601,7,100,0.5,22
-spreading_maxsave,0.2482245999854058,10,100,0.5,25
-heuristic_maxsave,0.13083999999798834,10,100,0.5,25
-spreading_maxsave,0.07725039997603744,1,100,0.5,15
-heuristic_maxsave,0.040257500018924475,1,100,0.5,11
-spreading_maxsave,0.10219349997350946,2,100,0.5,18
-heuristic_maxsave,0.054914999986067414,2,100,0.5,19
-spreading_maxsave,0.1800282999756746,3,100,0.5,19
-heuristic_maxsave,0.08123720000730827,3,100,0.5,20
-spreading_maxsave,0.17428600002313033,5,100,0.5,21
-heuristic_maxsave,0.09290069999406114,5,100,0.5,22
-spreading_maxsave,0.1898769999970682,7,100,0.5,23
-heuristic_maxsave,0.10721779998857528,7,100,0.5,24
-spreading_maxsave,0.23567659995751455,10,100,0.5,26
-heuristic_maxsave,0.22982210002373904,10,100,0.5,27
-spreading_maxsave,0.07109649997437373,1,100,0.5,1
-heuristic_maxsave,0.03921929997159168,1,100,0.5,1
-spreading_maxsave,0.09343389997957274,2,100,0.5,2
-heuristic_maxsave,0.05239399999845773,2,100,0.5,2
-spreading_maxsave,0.13225769996643066,3,100,0.5,3
-heuristic_maxsave,0.07773489999817684,3,100,0.5,3
-spreading_maxsave,0.15627340000355616,5,100,0.5,4
-heuristic_maxsave,0.08157059998484328,5,100,0.5,4
-spreading_maxsave,0.26433819998055696,7,100,0.5,4
-heuristic_maxsave,0.11675029998878017,7,100,0.5,4
-spreading_maxsave,0.2565377000137232,10,100,0.5,4
-heuristic_maxsave,0.1272406000061892,10,100,0.5,4
-spreading_maxsave,0.08394789998419583,1,100,0.5,9
-heuristic_maxsave,0.04069719999097288,1,100,0.5,9
-spreading_maxsave,0.10001940000802279,2,100,0.5,10
-heuristic_maxsave,0.053001899970695376,2,100,0.5,11
-spreading_maxsave,0.11848639999516308,3,100,0.5,11
-heuristic_maxsave,0.06636709999293089,3,100,0.5,12
-spreading_maxsave,0.2263824999681674,5,100,0.5,13
-heuristic_maxsave,0.09960889996727929,5,100,0.5,14
-spreading_maxsave,0.19554589997278526,7,100,0.5,15
-heuristic_maxsave,0.09512779995566234,7,100,0.5,16
-spreading_maxsave,0.2814078999799676,10,100,0.5,18
-heuristic_maxsave,0.13273020001361147,10,100,0.5,19
-spreading_maxsave,0.07445840002037585,1,100,0.8,5
-heuristic_maxsave,0.05338639998808503,1,100,0.8,5
-spreading_maxsave,0.11124779999954626,2,100,0.8,6
-heuristic_maxsave,0.08796809997875243,2,100,0.8,6
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diff --git a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_100_edge_prob.png b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_100_edge_prob.png
new file mode 100644
index 0000000..95ea7ed
Binary files /dev/null and b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_100_edge_prob.png differ
diff --git a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_200_edge_prob.png b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_200_edge_prob.png
new file mode 100644
index 0000000..dec3be5
Binary files /dev/null and b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_200_edge_prob.png differ
diff --git a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_400_edge_prob.png b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_400_edge_prob.png
new file mode 100644
index 0000000..dd0855d
Binary files /dev/null and b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_400_edge_prob.png differ
diff --git a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_budget.png b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_budget.png
index 5758797..08ff707 100644
Binary files a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_budget.png and b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_budget.png differ
diff --git a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_preprocessed.csv b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_preprocessed.csv
index 3da94d9..1a0c099 100644
--- a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_preprocessed.csv
+++ b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_preprocessed.csv
@@ -1,1081 +1,1081 @@
 algorithm,runtime,Budget,graph_nodes,edge_probability,Nodes_Saved
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