Pcos Detection

Pcos Detection/Model/README.md

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+**Pcos Detection**
+
+🎯**GOAL**
+
+The aim of the project is to build a model which would predict whether a person has the Pcos Detection
+
+🧵**DATASET**
+
+The dataset was taken from the Kaggle.
+
+🧾**DESCRIPTION**
+
+In this project, we compare the accuracies of different models to predict the pcos in the person.
+
+🧮**WHAT I HAD DONE**
+
+Steps followed:
+* Downloaded the dataset from Kaggle.
+* Checked for null values and performed exploratory data analysis
+* Built models using the following algorithms: Logistic Regression, KNN, Random Forest
+* Compared the accuracies
+* Then performed cross validation on all the algorithms to see if the accuraries imrpove.
+
+🚀**Models Implemented**
+
+1) Logistic Regression
+2) Decision Tree
+3) Random forest
+4) Gradient Boosting
+5) Adaboost
+6) Naive Bayes
+7) Support Vector Machine
+8) K-Nearest Neighbors
+
+📚**LIBRARIES NEEDED**
+
+* Pandas
+* Matplotlib
+* Seaborn
+* Numpy
+* Sklearn
+
+📊**Exploratory Data Analysis Results**
+
+![alt text](image-1.png)
+![alt text](image.png)
+
+📈 **Performance of the Models based on the Accuracy Scores**
+
+                Classifier  Accuracy  Precision    Recall  F1 Score
+0     Logistic Regression  0.703704   0.514286  0.545455  0.529412
+1           Decision Tree  0.629630   0.405405  0.454545  0.428571
+2           Random Forest  0.685185   0.487805  0.606061  0.540541
+3       Gradient Boosting  0.731481   0.547619  0.696970  0.613333
+4                AdaBoost  0.685185   0.487805  0.606061  0.540541
+5             Naive Bayes  0.518519   0.373333  0.848485  0.518519
+6  Support Vector Machine  0.305556   0.301887  0.969697  0.460432
+7     K-Nearest Neighbors  0.694444   0.500000  0.606061  0.547945
+
+📢**CONCLUSION**
+
+From this project we conclude that Gradient Boosting has the highest accuracy among all the four algorithms, followed by  Logistic Regression, Random forest , AdaBoost and KNN.
+
+✒️**Contribution by**
+
+Payal Sinha
+Github: https://github.com/payalsinha12

Pcos Detection/requirements.txt

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+pandas==1.3.4
+numpy==1.21.4
+pandas==1.3.5
+matplotlib==3.5.1
+scikit-learn==1.0.1
+seaborn==0.11.2