决策树还为更先进的集合方法(如装袋(baging),随机森林(random forests)和梯度提升(gradient boosting))提供了基础。 在本教程中,您将了解如何使用Python从头开始实现分类回归树算法(Classification And Regression Tree algorithm)。 读完本教程后,您将知道: 如何计算和评估数据中的候选分割(split points)点。 如何将...
('--max_features', type=str, default='auto')\n", # Model call "preprocessor": None, "model_call" : "model = RandomForestRegressor(n_estimators=args.n_estimators,max_depth=args.max_depth,min_samples_leaf=args.min_samples_leaf,min_samples_...
Implemented the RandomForest classifier and read up about adaBoost Day 9 (17-09-18) Linear Regression, Unsupervised Learning (K Means) Completed the lesson on Regressions and implemented the same in the mini-project Completed the analysis of outliers in the enron dataset and the Q&A on the ana...