数据集:特定人口中的温度和身高 结果:BMI
使用给定的数据集,创建一个机器学习模型,以预测给定的结果.使用 sklearn.
创建一个机器学习模型,以预测BMI使用scikit-learn,你可以按照以下步骤: 1.加载数据集 2.分数据集成训练和测试集 3.预处理数据 (例如,规范数据或做任何特征工程) 4.选择一个合适的模型回归 5.训练模型在训练数据集 6.评估模型的性能在测试数据集 7.使用模型做预测在新数据. 这是一个例子代码,使用线性回归预测BMI基于温度和高度数据: ``` 进口pandas作为pd从 sklearn.predtest_model从 sklearn.predtest_model从 sklearn.prefit_selection从 sklearn.split_test_model从 sklearn.split_model从 sklearn.split_model从 sklearn.split_model从 sklearn.split_model从 sklearn.split_model从 sklearn.split_model从 sklearn.split_model从 sklearn.split_model从 sklearn.split_model从 sklearn.split_model从 sklearn.split_model从 sklearn.split_model从 sklearn.split_model.split_model从 sklearn.split_model.split_model.split_model.split_model.split_model.split_model.split_model.split_model.split_model.split_model.split_model.split_model.split_model.split_data_data_data_data_data_data_data_split_data_split_split_data_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_split_sp