Added more Models

app.py

@@ -1,33 +1,75 @@
 import streamlit as st
 import pandas as pd
 
-# Load association rules
-rules = pd.read_csv("apriori_rules.csv")
+# ✅ Ensure this is the FIRST Streamlit command
+st.set_page_config(page_title="Grocery Recommender", layout="wide")
+
+# Function to load rules based on selected model
+def load_rules(model_name):
+    try:
+        return pd.read_csv(f"{model_name}_rules.csv")
+    except FileNotFoundError:
+        st.error(f"Error: {model_name}_rules.csv not found!")
+        return None
 
 # Function to get recommendations
-def get_recommendations(selected_item):
+def get_recommendations(selected_item, rules):
     recommendations = set()
     for _, rule in rules.iterrows():
         if selected_item in eval(rule['antecedents']):  # Convert string to set
-            recommendations.update(eval(rule['consequents']))  
+            recommendations.update(eval(rule['consequents']))
     return recommendations
 
-# Streamlit UI
-st.title("🛒 Grocery Recommender System")
-st.write("Select an item to see frequently bought items.")
-
-# Get unique product names
-unique_products = set()
-for _, rule in rules.iterrows():
-    unique_products.update(eval(rule['antecedents']))
-
-# Dropdown for product selection
-selected_product = st.selectbox("Choose a product:", sorted(unique_products))
-
-if selected_product:
-    recommendations = get_recommendations(selected_product)
-    if recommendations:
-        st.success(f"Customers who bought **{selected_product}** also bought:")
-        st.write(", ".join(recommendations))
-    else:
-        st.warning("No recommendations found for this product.")
+# ✅ Tabs for Application & Model Evaluation
+app, model_eval = st.tabs(["📩 Application", "📊 Model Evaluation"])
+
+with app:
+    # ✅ Streamlit UI
+    st.title("🛒 Grocery Recommender System")
+    st.write("Select an item to see frequently bought items.")
+
+    # ✅ Sidebar for model selection
+    st.sidebar.title("⚙️ Settings")
+    selected_model = st.sidebar.radio("Choose Model:", ["Apriori", "FP-Growth", "Eclat"])
+
+    # ✅ Load association rules
+    rules = load_rules(selected_model.lower())  # Convert to lowercase to match filenames
+
+    if rules is not None:
+        # ✅ Get unique product names
+        unique_products = set()
+        for _, rule in rules.iterrows():
+            unique_products.update(eval(rule['antecedents']))
+
+        # ✅ Dropdown for product selection
+        selected_product = st.selectbox("Choose a product:", sorted(unique_products))
+
+        if selected_product:
+            recommendations = get_recommendations(selected_product, rules)
+            if recommendations:
+                st.success(f"Customers who bought **{selected_product}** also bought:")
+                st.write(", ".join(recommendations))
+            else:
+                st.warning("No recommendations found for this product.")
+
+with model_eval:
+    st.header("Model Evaluation")
+    st.write("The Spam Detection model was trained to identify purchasing patterns based on unsupervised learning and unlabeled data. The dataset was taken from Kaggle.")
+    st.write("Dataset by AlexMiles: [Kaggle Link](https://www.kaggle.com/datasets/alexmiles/grocery-products-purchase-data)")
+
+    st.header("F1, Precision, Recall")
+    st.write("Association rules generate frequent itemsets, which can be used to predict what customers are likely to buy based on their previous purchases. By comparing the predicted items with the actual items purchased, we can measure how well the model performs.")
+
+    st.header("Apriori")
+    st.image("Apriorievaluation_metrics.png")
+
+    st.header("FP-Growth")
+    st.image("FPevaluation_metrics.png")
+
+    st.header("Eclat")
+    st.image("Eclatevaluation_metrics.png")
+    
+    st.header("Comparison")
+    st.write("Based on the data, we can infer the following:")
+    st.write("The Apriori Algorithm is highly precise, meaning that almost everything it recommends is correct but precision and recall are poor.")
+    st.write("The Eclat and FP-Growth have low precision but can recommend all possible events and achieve a better balance between precision and recall.")

apriori_rules.csv

@@ -24,16 +24,16 @@ frozenset({'newspapers'}),frozenset({'whole milk'}),0.07980886539243595,0.255490
 frozenset({'pastry'}),frozenset({'other vegetables'}),0.08895892639284261,0.19347295648637658,0.022570150467669785,0.2537142857142857,1.3113682155994295,1.0,0.00535900397259257,1.080721536101716,0.26062235653799104,0.08685446009389673,0.07469226197979509,0.18518609713985437
 frozenset({'pip fruit'}),frozenset({'other vegetables'}),0.07564050427002847,0.19347295648637658,0.026128507523383488,0.3454301075268817,1.7854180439487168,1.0,0.011494115532140688,1.232148091117322,0.47590475913318414,0.10753138075313806,0.18840924462806105,0.24024001435198525
 frozenset({'pork'}),frozenset({'other vegetables'}),0.05764538430256202,0.19347295648637658,0.021655144367629116,0.37566137566137564,1.9416738260668895,1.0,0.010502321438819079,1.2918102646108034,0.5146474922466072,0.09437306158617634,0.22589251115659786,0.24379495477761373
-frozenset({'rolls/buns'}),frozenset({'other vegetables'}),0.18391622610817404,0.19347295648637658,0.0425986173241155,0.23161967938087344,1.1971682429796484,1.0,0.007015801313150147,1.0496456271339172,0.2018120228477102,0.12723959914971153,0.047297512465684,0.22589917232312196
 frozenset({'other vegetables'}),frozenset({'rolls/buns'}),0.19347295648637658,0.18391622610817404,0.0425986173241155,0.22017866526537047,1.1971682429796484,1.0,0.007015801313150147,1.046500958029747,0.2042033414091226,0.12723959914971153,0.044434701825113256,0.22589917232312196
+frozenset({'rolls/buns'}),frozenset({'other vegetables'}),0.18391622610817404,0.19347295648637658,0.0425986173241155,0.23161967938087344,1.1971682429796484,1.0,0.007015801313150147,1.0496456271339172,0.2018120228477102,0.12723959914971153,0.047297512465684,0.22589917232312196
 frozenset({'root vegetables'}),frozenset({'other vegetables'}),0.10898739324928833,0.19347295648637658,0.04737698251321675,0.4347014925373134,2.2468333581697397,1.0,0.02629086932153358,1.4267277073376305,0.6228073096534201,0.1857313670785173,0.29909540912605753,0.33978900165488896
 frozenset({'other vegetables'}),frozenset({'root vegetables'}),0.19347295648637658,0.10898739324928833,0.04737698251321675,0.2448765107724645,2.2468333581697397,1.0,0.02629086932153358,1.1799561521549091,0.6880478081183127,0.1857313670785173,0.15251088087151538,0.33978900165488896
 frozenset({'sausage'}),frozenset({'other vegetables'}),0.0939406262708418,0.19347295648637658,0.026941846278975192,0.28679653679653677,1.482359819196393,1.0,0.008766875580173649,1.1308512719371593,0.35913756309068107,0.10343481654957062,0.11571041673146801,0.21302517328528886
 frozenset({'shopping bags'}),frozenset({'other vegetables'}),0.09851565677104514,0.19347295648637658,0.023180154534363562,0.23529411764705882,1.2161602423418132,1.0,0.004120039158672335,1.0546892107485846,0.19716364046464413,0.08623298033282904,0.05185338978652093,0.177552471330098
 frozenset({'tropical fruit'}),frozenset({'other vegetables'}),0.10492069947132981,0.19347295648637658,0.03588857259048393,0.3420542635658914,1.7679693833074661,1.0,0.015589254667147147,1.2258260808631212,0.48529705143039537,0.1367157242447715,0.18422358961730845,0.2637754239532032
 frozenset({'whipped/sour cream'}),frozenset({'other vegetables'}),0.07167547783651891,0.19347295648637658,0.02887352582350549,0.4028368794326241,2.0821353368887494,1.0,0.015006259218900418,1.35059754317602,0.5598514424626833,0.12220309810671258,0.25958698425555154,0.27603746231221327
-frozenset({'whole milk'}),frozenset({'other vegetables'}),0.255490036600244,0.19347295648637658,0.07482716551443676,0.29287703939514526,1.5137879976303987,1.0,0.025396752780574988,1.1405753856779604,0.4558777363161924,0.19999999999999998,0.12324953479019901,0.3398173951573729
 frozenset({'other vegetables'}),frozenset({'whole milk'}),0.19347295648637658,0.255490036600244,0.07482716551443676,0.3867577509196006,1.5137879976303985,1.0,0.025396752780574988,1.2140552359466457,0.4208234795214267,0.19999999999999998,0.1763142479919693,0.3398173951573729
+frozenset({'whole milk'}),frozenset({'other vegetables'}),0.255490036600244,0.19347295648637658,0.07482716551443676,0.29287703939514526,1.5137879976303987,1.0,0.025396752780574988,1.1405753856779604,0.4558777363161924,0.19999999999999998,0.12324953479019901,0.3398173951573729
 frozenset({'other vegetables'}),frozenset({'yogurt'}),0.19347295648637658,0.13948759658397722,0.0434119560797072,0.22438255386232267,1.608620116464873,1.0,0.016424878375426125,1.1094546773039913,0.4691091167213942,0.1499297752808989,0.09865628541940051,0.26780352182912054
 frozenset({'yogurt'}),frozenset({'other vegetables'}),0.13948759658397722,0.19347295648637658,0.0434119560797072,0.3112244897959184,1.6086201164648728,1.0,0.016424878375426125,1.1709577816938532,0.43967894883634456,0.1499297752808989,0.14599824551022983,0.26780352182912054
 frozenset({'pastry'}),frozenset({'rolls/buns'}),0.08895892639284261,0.18391622610817404,0.020943472956486377,0.23542857142857146,1.2800859196083079,1.0,0.004582482935679925,1.0673741437299666,0.24016747870762536,0.08313155770782889,0.06312139386712708,0.17465182026376058
@@ -44,11 +44,11 @@ frozenset({'pip fruit'}),frozenset({'whole milk'}),0.07564050427002847,0.2554900
 frozenset({'pork'}),frozenset({'whole milk'}),0.05764538430256202,0.255490036600244,0.022163481089873933,0.3844797178130512,1.5048716690844295,1.0,0.007435659744577232,1.2095620322282572,0.3560140786938013,0.07617051013277429,0.1732544728129416,0.23561431175173053
 frozenset({'root vegetables'}),frozenset({'rolls/buns'}),0.10898739324928833,0.18391622610817404,0.024298495323302156,0.22294776119402984,1.2122245323960628,1.0,0.004253945263525561,1.0502302588379802,0.1964846681651259,0.09046177138531417,0.047827853382892443,0.17753247650635712
 frozenset({'sausage'}),frozenset({'rolls/buns'}),0.0939406262708418,0.18391622610817404,0.03060187067913786,0.32575757575757575,1.771228034909627,1.0,0.013324665217166243,1.2103714399294496,0.4805644858252265,0.12376644736842105,0.17380733962271275,0.2460739233127293
-frozenset({'rolls/buns'}),frozenset({'soda'}),0.18391622610817404,0.17435949572997153,0.038328588857259045,0.2084024322830293,1.1952456699334555,1.0,0.006261048416478392,1.0430053576986602,0.20016562139913063,0.11979663171274228,0.041232154160309835,0.2141137525846633
 frozenset({'soda'}),frozenset({'rolls/buns'}),0.17435949572997153,0.18391622610817404,0.038328588857259045,0.21982507288629735,1.1952456699334555,1.0,0.006261048416478392,1.0460266608553674,0.19784871850398,0.11979663171274228,0.0440014223133949,0.2141137525846633
+frozenset({'rolls/buns'}),frozenset({'soda'}),0.18391622610817404,0.17435949572997153,0.038328588857259045,0.2084024322830293,1.1952456699334555,1.0,0.006261048416478392,1.0430053576986602,0.20016562139913063,0.11979663171274228,0.041232154160309835,0.2141137525846633
 frozenset({'tropical fruit'}),frozenset({'rolls/buns'}),0.10492069947132981,0.18391622610817404,0.024603497356649046,0.23449612403100775,1.2750159623930306,1.0,0.005306878269252174,1.0660739932359042,0.24097987015669065,0.09311273566756446,0.061978806025787016,0.18413584532119764
-frozenset({'rolls/buns'}),frozenset({'whole milk'}),0.18391622610817404,0.255490036600244,0.05662871085807239,0.3079049198452184,1.2051543142051604,1.0,0.009639947518316254,1.0757336451998074,0.20859469130106015,0.14794156706507305,0.0704018560149622,0.264776176595908
 frozenset({'whole milk'}),frozenset({'rolls/buns'}),0.255490036600244,0.18391622610817404,0.05662871085807239,0.2216474333465977,1.2051543142051604,1.0,0.009639947518316254,1.048475727909079,0.22864803865541578,0.14794156706507305,0.046234477936605844,0.264776176595908
+frozenset({'rolls/buns'}),frozenset({'whole milk'}),0.18391622610817404,0.255490036600244,0.05662871085807239,0.3079049198452184,1.2051543142051604,1.0,0.009639947518316254,1.0757336451998074,0.20859469130106015,0.14794156706507305,0.0704018560149622,0.264776176595908
 frozenset({'yogurt'}),frozenset({'rolls/buns'}),0.13948759658397722,0.18391622610817404,0.034363562423749494,0.24635568513119538,1.3394994576840453,1.0,0.008709530071124974,1.0828500365373166,0.2945366942204227,0.11888849806542386,0.07651108994025636,0.21659962255454188
 frozenset({'tropical fruit'}),frozenset({'root vegetables'}),0.10492069947132981,0.10898739324928833,0.02104514030093534,0.2005813953488372,1.840409146129816,1.0,0.009610106767663119,1.1145757698990721,0.5101699491008699,0.10911966262519768,0.10279765000583783,0.19683920513710518
 frozenset({'root vegetables'}),frozenset({'whole milk'}),0.10898739324928833,0.255490036600244,0.0489019926799512,0.44869402985074625,1.7562095016362675,1.0,0.02105679958972534,1.350447852393466,0.48326123405995614,0.15496134020618554,0.2595049129608002,0.3200493627168574
@@ -59,16 +59,16 @@ frozenset({'shopping bags'}),frozenset({'soda'}),0.09851565677104514,0.174359495
 frozenset({'shopping bags'}),frozenset({'whole milk'}),0.09851565677104514,0.255490036600244,0.02450183001220008,0.24871001031991744,0.9734626587770425,1.0,-0.0006679387419313183,0.9909754869977523,-0.029352261660779998,0.07435976550447393,-0.00910669650324895,0.1723056617457128
 frozenset({'soda'}),frozenset({'whole milk'}),0.17435949572997153,0.255490036600244,0.04005693371289142,0.2297376093294461,0.899203790435508,1.0,-0.004490180232759093,0.966566682233597,-0.11953793045567172,0.10276473656755349,-0.03458976848771927,0.19326116439413013
 frozenset({'tropical fruit'}),frozenset({'whole milk'}),0.10492069947132981,0.255490036600244,0.0422936152907686,0.4031007751937984,1.577755362039873,1.0,0.015487421942715348,1.247295912708682,0.40911255373431654,0.132949824224992,0.19826563222807606,0.28431998568683153
-frozenset({'tropical fruit'}),frozenset({'yogurt'}),0.10492069947132981,0.13948759658397722,0.029280195201301342,0.27906976744186046,2.0006780120686147,1.0,0.014645059000135777,1.1936139789319027,0.5587990307436015,0.13610586011342155,0.16220820327955335,0.2444911519425046
 frozenset({'yogurt'}),frozenset({'tropical fruit'}),0.13948759658397722,0.10492069947132981,0.029280195201301342,0.2099125364431487,2.0006780120686147,1.0,0.014645059000135777,1.1328863471635935,0.5812460617517329,0.13610586011342155,0.1172989219053624,0.2444911519425046
+frozenset({'tropical fruit'}),frozenset({'yogurt'}),0.10492069947132981,0.13948759658397722,0.029280195201301342,0.27906976744186046,2.0006780120686147,1.0,0.014645059000135777,1.1936139789319027,0.5587990307436015,0.13610586011342155,0.16220820327955335,0.2444911519425046
 frozenset({'whipped/sour cream'}),frozenset({'whole milk'}),0.07167547783651891,0.255490036600244,0.03222854819032127,0.44964539007092197,1.7599331702099437,1.0,0.013916177734529075,1.352782278857804,0.46513540899773953,0.10927266459841435,0.2607827470623499,0.2878947205030296
 frozenset({'whipped/sour cream'}),frozenset({'yogurt'}),0.07167547783651891,0.13948759658397722,0.02074013826758845,0.28936170212765955,2.0744618820172445,1.0,0.0107422981301643,1.2109006874417085,0.5579377299052356,0.10891617725573945,0.17416844306801268,0.21902487438744495
-frozenset({'whole milk'}),frozenset({'yogurt'}),0.255490036600244,0.13948759658397722,0.05601870679137861,0.2192598487863112,1.5718949509199396,1.0,0.020381015634858203,1.1021751629890242,0.4886773715710119,0.1652669466106779,0.09270319856594482,0.31043167366429264
 frozenset({'yogurt'}),frozenset({'whole milk'}),0.13948759658397722,0.255490036600244,0.05601870679137861,0.40160349854227406,1.5718949509199394,1.0,0.020381015634858203,1.244174993647339,0.4228006134232656,0.1652669466106779,0.19625454208136114,0.31043167366429264
-"frozenset({'root vegetables', 'whole milk'})",frozenset({'other vegetables'}),0.0489019926799512,0.19347295648637658,0.023180154534363562,0.47401247401247404,2.4500192823892246,1.0,0.013718941432498258,1.5333577388539639,0.6222701998180915,0.10575139146567716,0.3478364672112309,0.2969116495128056
+frozenset({'whole milk'}),frozenset({'yogurt'}),0.255490036600244,0.13948759658397722,0.05601870679137861,0.2192598487863112,1.5718949509199396,1.0,0.020381015634858203,1.1021751629890242,0.4886773715710119,0.1652669466106779,0.09270319856594482,0.31043167366429264
 "frozenset({'root vegetables', 'other vegetables'})",frozenset({'whole milk'}),0.04737698251321675,0.255490036600244,0.023180154534363562,0.4892703862660944,1.9150272659424215,1.0,0.011075807538052694,1.4577379955642282,0.5015774494935311,0.08287895310796074,0.31400566971368354,0.2899992997784909
-"frozenset({'whole milk', 'other vegetables'})",frozenset({'root vegetables'}),0.07482716551443676,0.10898739324928833,0.023180154534363562,0.30978260869565216,2.8423710253082413,1.0,0.015024936820712056,1.2909159026939443,0.7006053595527281,0.14430379746835442,0.22535620026590994,0.2612345879299156
-frozenset({'root vegetables'}),"frozenset({'whole milk', 'other vegetables'})",0.10898739324928833,0.07482716551443676,0.023180154534363562,0.2126865671641791,2.8423710253082417,1.0,0.015024936820712056,1.1751010409579665,0.7274656289285514,0.14430379746835442,0.14900934886009515,0.2612345879299156
-"frozenset({'whole milk', 'other vegetables'})",frozenset({'yogurt'}),0.07482716551443676,0.13948759658397722,0.022265148434322896,0.297554347826087,2.133195747242997,1.0,0.011827686957522648,1.225023460182191,0.5741843544583272,0.11593435680254102,0.1836891026958166,0.22858766953986565
-"frozenset({'whole milk', 'yogurt'})",frozenset({'other vegetables'}),0.05601870679137861,0.19347295648637658,0.022265148434322896,0.397459165154265,2.054339647113689,1.0,0.011427043612851413,1.3385433764337544,0.543681934086254,0.09798657718120805,0.2529192422106833,0.2562703077479155
+"frozenset({'root vegetables', 'whole milk'})",frozenset({'other vegetables'}),0.0489019926799512,0.19347295648637658,0.023180154534363562,0.47401247401247404,2.4500192823892246,1.0,0.013718941432498258,1.5333577388539639,0.6222701998180915,0.10575139146567716,0.3478364672112309,0.2969116495128056
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eclat_rules.csv

@@ -0,0 +1,127 @@
+antecedents,consequents,antecedent support,consequent support,support,confidence,lift,representativity,leverage,conviction,zhangs_metric,jaccard,certainty,kulczynski
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fp-growth_rules.csv

@@ -0,0 +1,127 @@
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fp_rules.csv

@@ -0,0 +1,127 @@
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