Create abae_model.py

ai/abae/abae_model.py

@@ -0,0 +1,36 @@
+import pandas as pd
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.model_selection import train_test_split
+from sklearn.metrics import accuracy_score
+
+class ABAEModel:
+    def __init__(self):
+        self.model = RandomForestClassifier()
+
+    def train(self, data):
+        X, y = data
+        X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+        self.model.fit(X_train, y_train)
+
+    def predict(self, data):
+        return self.model.predict(data)
+
+    def evaluate(self, data):
+        X, y = data
+        y_pred = self.model.predict(X)
+        return accuracy_score(y, y_pred)
+
+# Load dataset
+df = pd.read_csv(" dataset.csv")
+
+# Split dataset into features and target
+X = df.drop("target", axis=1)
+y = df["target"]
+
+# Train model
+model = ABAEModel()
+model.train((X, y))
+
+# Evaluate model
+accuracy = model.evaluate((X, y))
+print(f"Model accuracy: {accuracy:.3f}")