The following Python code loads the iris dataset: import pandas as pdįrom sklearn.datasets import load_irisdata = load_iris()ĭf = pd.DataFrame(data.data, columns=data.feature_names) Scikit learn has iris datasets built in, so we don't need to download them from other websites. In order to visualize the decision tree, we first need to train a decision tree model with scikit learn.įirst, import the necessary Python libraries: import matplotlib.pyplot as pltįrom sklearn.datasets import load_breast_cancerįrom ee import DecisionTreeClassifierįrom sklearn.ensemble import RandomForestClassifierįrom sklearn.model_selection import train_test_split Training decision tree model with scikit learn The code for the tutorial is available from Here Download.
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