first commit

app.py

@@ -8,6 +8,13 @@ from sklearn.preprocessing import StandardScaler
 lr_model = "models/LR_model.pkl"
 knn_model = "models/KNN_model.pkl"
 svm_model = "models/SVM_model.pkl"
+abc_model = "models/ABC_model.pkl"
+bc_model = "models/BC_model.pkl"
+dt_model = "models/DT_model.pkl"
+lgbm_model = "models/LGBM_model.pkl"
+nb_model = "models/NB_model.pkl"
+rf_model = "models/RF_model.pkl"
+xg_model = "models/XG_model.pkl"
 
 with open(lr_model, 'rb') as file:
     LR_model = pickle.load(file)
@@ -18,6 +25,28 @@ with open(knn_model, 'rb') as file:
 with open(svm_model, 'rb') as file:
     SVM_model = pickle.load(file)
 
+with open(abc_model, 'rb') as file:
+    ABC_model = pickle.load(file)
+
+with open(bc_model, 'rb') as file:
+    BC_model = pickle.load(file)
+
+with open(dt_model, 'rb') as file:
+    DT_model = pickle.load(file)
+
+with open(lgbm_model, 'rb') as file:
+    LGBM_model = pickle.load(file)
+
+with open(nb_model, 'rb') as file:
+    NB_model = pickle.load(file)
+
+with open(rf_model, 'rb') as file:
+    RF_model = pickle.load(file)
+
+with open(xg_model, 'rb') as file:
+    XG_model = pickle.load(file)
+
+
 st.title("Parkinson's Disease Prediction Using Machine Learning")
 
 st.header('Fill the form and press the predict button to see the result',
@@ -60,9 +89,6 @@ initial_values = {
 }
 
 
-# for key, value in initial_values.items():
-#     st.text_input(key, value=value)
-
 for i, (key, value) in enumerate(initial_values.items()):
     initial_values[key] = st.text_input(key, value=value, key=i)
 
@@ -82,6 +108,20 @@ if st.button('Predict', type="primary"):
         LR_model.predict(sc.fit_transform([test_value]))))
     st.write("KNN", str(KNN_model.predict(sc.fit_transform([test_value]))))
     st.write("SVM", str(SVM_model.predict(sc.fit_transform([test_value]))))
+    st.write("AdaBoost Classifier", str(
+        ABC_model.predict(sc.fit_transform([test_value]))))
+    st.write("Bagging Classifier", str(
+        BC_model.predict(sc.fit_transform([test_value]))))
+    st.write("Decision Tree", str(
+        DT_model.predict(sc.fit_transform([test_value]))))
+    st.write("LightGBM", str(LGBM_model.predict(
+        sc.fit_transform([test_value]))))
+    st.write("Naive Bayes", str(
+        NB_model.predict(sc.fit_transform([test_value]))))
+    st.write("Random Forest", str(
+        RF_model.predict(sc.fit_transform([test_value]))))
+    st.write("XGBoost", str(XG_model.predict(sc.fit_transform([test_value]))))
+
     st.write("Provided Data: ", test_value)
 
 dataset = pd.read_csv("dataset/parkinsons.data")

models/ABC_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7902ea84ed1c4d396f4ef42b171629457efb263790f8a4c4d51b43b18011d3be
+size 28775

models/BC_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02a9736c0634c7b484457024b2f888543b9e13015ff3b281e40d0620bbeab1ed
+size 626508

models/DT_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b5868ab19ae6304905d8a318063ec7616ac35715c641af9dbf55a0fff777af1
+size 1490

models/KNN_model.pkl

@@ -1,3 +1,3 @@
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-oid sha256:b0a8f7014bd43dd15a5f1cb789ad801abc1c7bbd25bfde28ded1cc48a1ad9d55
-size 885
+oid sha256:7408109d67cd26c838b11296b75532edd7a58f47527946d83e613890626bae87
+size 29368

models/LGBM_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aae82a93e407b7e51c9b6af018c79bad82b37799d2cfe58e00d9d552e037cc94
+size 99839

models/LR_model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b0a8f7014bd43dd15a5f1cb789ad801abc1c7bbd25bfde28ded1cc48a1ad9d55
+oid sha256:ea2127a9b1d5323ddd59593cdc0c026c4c4a4696ef6f243f506720523bfea440
 size 885

models/NB_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1662f26defdfc8f25d21d6e58c40c7851134d66524a79d2c7a6ceaa655c61714
+size 1287

models/RF_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f1ae84cedd2e63709fa9b5a6da68aa13afbcfb18414ce2e11e7097717b557819
+size 70164

models/SVM_model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b0a8f7014bd43dd15a5f1cb789ad801abc1c7bbd25bfde28ded1cc48a1ad9d55
-size 885
+oid sha256:7a0aa7035c4b8ab2f21716ed98ee3e1551bbfc902c34fc549dd9e1d99c9461b5
+size 11649

models/XG_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:642ef784d80abcec5cce139af60d3dcde342ea54b50e74122d5f5378b7a57349
+size 87079