BestPromptFinderBelow is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: Develop a Python function to predict the class labels of a given set of data. ### Input: The dataset contains 4 features: Length, Width, Height and Weight. ### Output: # Load the dataset import pandas as pd csv_url = ' df = pd.read_csv(csv_url) # Split the dataset into features and label X = df.iloc[:, 0:4].values y = df.iloc[:, 4].values # Import the ML model from sklearn.tree import DecisionTreeClassifier # Create and fit the model model = DecisionTreeClassifier() model.fit(X, y) # Predict the label def predict(data): predicted_label = model.predict([data]) return predicted_labelFind similar in the app →