ExtraTreesClassifier(n_estimators=10, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, ... <看更多>

Set the max_depth argument to something other than the None, which is default. It expands the tree until you rich 100% accuracy, ... ... <看更多>

The number of trees is a key hyperparameters. Keeping all other hyperparameters constant, you usually have that too many trees = overfitting ... ... <看更多>

使用scikit-learn，我们可以对n_estimators 模型参数进行网格搜索，评估50 到350 的一系列值，步长为50（50,150,200,250,300,350） 。 # grid search model = ... ... <看更多>

Instead, it also # tunes the number of estimators (``n_estimators``). class ... X, y): from sklearn.ensemble import RandomForestClassifier self.n_estimators ... ... <看更多>

預設情況下，建立了100 個估算器. placeholderCopy >>> gbc.n_estimators 100. 這可以通過在初始化時間期間將 n_estimators 設定為 ... ... <看更多>

22: The default value of n_estimators changed from 10 to 100 in 0. Keras This file contains bidirectional Unicode text that may be interpreted or compiled ... ... <看更多>