Feature extraction and model training

app.py

@@ -107,8 +107,8 @@ if task == "Classification":
 
 # Model Initialization
 model_mapping = {
-    "KNN": KNeighborsClassifier() if task == "Classification" else KNeighborsRegressor(),
-    "SVM": SVC() if task == "Classification" else SVR(),
+ "KNN": KNeighborsClassifier(n_neighbors=min(5, len(X_train))) if task == "Classification" 
+           else KNeighborsRegressor(n_neighbors=min(5, len(X_train))),    "SVM": SVC() if task == "Classification" else SVR(),
     "Random Forest": RandomForestClassifier() if task == "Classification" else RandomForestRegressor(),
     "Decision Tree": DecisionTreeClassifier() if task == "Classification" else DecisionTreeRegressor(),
     "Perceptron": Perceptron() if task == "Classification" else Perceptron()

datasets/churn_prediction.csv

@@ -0,0 +1,101 @@
+customer_tenure,monthly_charge,total_spend,churned
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+27,9,8338,0

datasets/customer_segmentation.csv

@@ -0,0 +1,101 @@
+age,income,spending_score,segment
+6,15,0.95,C
+33,28,0.62,B
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+68,22,0.5,A

datasets/disease_prediction.csv

@@ -1,4 +1,101 @@
-fever,cough,fatigue,disease
-98.6,0,0,"Healthy"
-100.2,1,1,"Flu"
-101.5,1,0,"COVID-19"
+age,gender,blood_pressure,cholesterol,diabetes,disease_present
+67,43,89,24,39,54
+41,41,31,76,94,82
+77,22,29,81,67,67
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datasets/energy_consumption.csv

@@ -0,0 +1,101 @@
+day,temperature,energy_usage
+2023-01-01,32,12
+2023-01-02,32,51
+2023-01-03,13,5
+2023-01-04,28,48
+2023-01-05,31,58
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+2023-04-10,27,6

datasets/fraud_detection.csv

@@ -1,6 +1,101 @@
 transaction_amount,transaction_type,location,is_fraud
-500,Credit Card,New York,0
-1200,Wire Transfer,California,1
-250,Debit Card,Texas,0
-800,Online Purchase,Florida,1
-50,Cash Withdrawal,Illinois,0
+16997,2,78,0
+19012,78,57,1
+37626,52,10,0
+6024,69,12,1
+47053,57,34,1
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datasets/handwritten_digit_recognition.csv

@@ -0,0 +1,101 @@
+pixel_1,pixel_2,pixel_3,digit_label
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datasets/house_price.csv

@@ -1,6 +0,0 @@
-area_sqft,bedrooms,bathrooms,location,price
-1200,3,2,New York,350000
-1800,4,3,California,500000
-950,2,1,Texas,200000
-2200,5,4,Florida,600000
-1100,3,2,Illinois,300000

datasets/house_price_estimation.csv

@@ -0,0 +1,101 @@
+location,size_sqft,num_rooms,estimated_price
+92,65,31,47641
+34,62,50,28549
+81,81,88,47807
+4,26,58,46296
+74,94,74,45945
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+61,20,26,21454
+74,61,59,30150
+3,68,67,7558
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+68,59,69,4431
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datasets/house_price_prediction.csv

@@ -0,0 +1,101 @@
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datasets/image_recognition.csv

@@ -0,0 +1,101 @@
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datasets/loan_approval.csv

@@ -0,0 +1,101 @@
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datasets/patient_survival_prediction.csv

@@ -0,0 +1,101 @@
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datasets/revenue_prediction.csv

@@ -0,0 +1,101 @@
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datasets/sales_forecasting.csv

@@ -1,6 +1,101 @@
-month,product,units_sold,revenue
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-February,Product A,200,6000
-March,Product B,180,5400
-April,Product C,250,7500
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datasets/sentiment_analysis.csv

@@ -0,0 +1,101 @@
+review_text,sentiment_score,sentiment_label
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datasets/spam_detection.csv

@@ -1,6 +1,101 @@
-email_text,is_spam
-"Congratulations! You won a lottery",1
-"Important update on your bank account",1
-"Meeting tomorrow at 10 AM",0
-"Get your free trial now!",1
-"Project submission deadline extended",0
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datasets/stock_market_trends.csv

@@ -0,0 +1,101 @@
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datasets/stock_prediction.csv

@@ -0,0 +1,101 @@
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datasets/text_classification.csv

@@ -0,0 +1,101 @@
+text_data,category
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datasets/traffic_flow_prediction.csv

@@ -0,0 +1,101 @@
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datasets/weather_forecasting.csv

@@ -0,0 +1,101 @@
+day,temperature,humidity,rainfall,forecast_temp
+2023-01-01,11,37,5,25
+2023-01-02,13,27,10,48
+2023-01-03,24,27,58,74
+2023-01-04,30,31,83,52
+2023-01-05,14,37,79,88
+2023-01-06,18,35,96,46
+2023-01-07,28,38,93,40
+2023-01-08,35,11,60,43
+2023-01-09,31,34,93,52
+2023-01-10,34,33,30,69
+2023-01-11,35,27,17,99
+2023-01-12,34,22,85,69
+2023-01-13,22,24,12,45
+2023-01-14,12,31,43,1
+2023-01-15,37,34,82,12
+2023-01-16,27,34,28,23
+2023-01-17,19,15,44,79
+2023-01-18,14,20,95,95
+2023-01-19,10,22,90,38
+2023-01-20,13,10,5,35
+2023-01-21,32,18,17,49
+2023-01-22,25,39,24,31
+2023-01-23,36,24,68,81
+2023-01-24,25,12,50,38
+2023-01-25,19,39,40,94
+2023-01-26,20,27,73,17
+2023-01-27,37,20,93,38
+2023-01-28,11,36,11,21
+2023-01-29,17,29,71,22
+2023-01-30,14,37,84,29
+2023-01-31,19,10,91,6
+2023-02-01,19,15,14,11
+2023-02-02,39,19,96,41
+2023-02-03,14,31,32,50
+2023-02-04,25,19,67,68
+2023-02-05,20,32,90,70
+2023-02-06,27,16,22,46
+2023-02-07,18,31,7,5
+2023-02-08,30,17,43,19
+2023-02-09,33,25,40,53
+2023-02-10,10,11,16,97
+2023-02-11,27,34,89,4
+2023-02-12,21,28,59,46
+2023-02-13,29,14,41,50
+2023-02-14,25,14,33,96
+2023-02-15,13,25,69,8
+2023-02-16,34,21,95,11
+2023-02-17,31,32,46,56
+2023-02-18,37,16,85,33
+2023-02-19,25,31,84,51
+2023-02-20,10,17,76,52
+2023-02-21,11,33,2,85
+2023-02-22,18,11,35,20
+2023-02-23,35,10,49,63
+2023-02-24,28,15,84,64
+2023-02-25,20,18,49,94
+2023-02-26,38,14,75,23
+2023-02-27,24,22,97,98
+2023-02-28,20,13,13,97
+2023-03-01,30,33,67,60
+2023-03-02,37,12,31,6
+2023-03-03,22,28,86,43
+2023-03-04,25,27,3,32
+2023-03-05,38,19,50,50
+2023-03-06,30,32,99,30
+2023-03-07,14,25,21,98
+2023-03-08,29,15,70,91
+2023-03-09,25,39,53,59
+2023-03-10,27,19,99,28
+2023-03-11,28,20,55,86
+2023-03-12,39,14,79,40
+2023-03-13,25,12,68,13
+2023-03-14,29,29,49,2
+2023-03-15,22,13,5,34
+2023-03-16,37,30,95,30
+2023-03-17,14,18,20,3
+2023-03-18,17,20,88,11
+2023-03-19,10,32,61,46
+2023-03-20,31,21,65,21
+2023-03-21,37,32,77,87
+2023-03-22,26,10,77,63
+2023-03-23,11,22,77,76
+2023-03-24,15,32,13,3
+2023-03-25,33,17,31,8
+2023-03-26,14,11,70,79
+2023-03-27,16,21,96,93
+2023-03-28,15,31,23,24
+2023-03-29,22,38,67,72
+2023-03-30,15,13,25,22
+2023-03-31,12,31,87,69
+2023-04-01,36,38,28,81
+2023-04-02,39,16,23,6
+2023-04-03,26,22,45,84
+2023-04-04,11,39,51,20
+2023-04-05,30,21,1,45
+2023-04-06,33,31,67,26
+2023-04-07,13,36,19,34
+2023-04-08,36,27,6,31
+2023-04-09,34,22,27,91
+2023-04-10,11,21,91,40