python
from Accord.MachineLearning import *
dataset = CsvReader("data.csv")
preprocessor = DataPreprocessor()
preprocessor.fit_transform(dataset)
extractor = FeatureExtractor()
extractor.fit_transform(dataset)
model = DecisionTreeClassifier()
model.fit(dataset)
prediction = model.predict(dataset)
evaluator = ModelEvaluator()
accuracy = evaluator.evaluate(model, dataset)
print("Prediction:", prediction)
print("Accuracy:", accuracy)