Change the machine learning model from Logistic Regression to Random Forest Classifier.

app/factory_predictor.py

@@ -1,11 +1,15 @@
 import pandas as pd
-from sklearn.linear_model import LogisticRegression
+#from sklearn.linear_model import LogisticRegression
+from sklearn.ensemble import RandomForestClassifier
 from sklearn.preprocessing import LabelEncoder
 from sklearn.metrics import accuracy_score
 
 class FactoryPredictor:
     def __init__(self):
-        self.model = LogisticRegression()
+
+        # Added random_state=42 for reproducibility. n_estimators = 100 is a default value.
+        self.model = RandomForestClassifier(n_estimators=100, random_state=42)
+        
         self.le_diagnosis = LabelEncoder()
         self.temperature = 0
         self.pressure = 0