class sklearn.ensemble.RandomForestClassifier(n_estimators=10, crite-rion=’gini’, max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=’auto’, max_leaf_nodes=None, bootstrap=True, oob_score=False, n_jobs=1, ran-dom_state=None, verbose...
sklearn RandomForestClassifier class_weight参数说明和metrics average参数说明,程序员大本营,技术文章内容聚合第一站。
RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None, criterion='gini', max_depth=None, max_features='auto', max_leaf_nodes=None, max_samples=None, min_impurity_decrease=0.0, min_impurity_split=None, min_samples_leaf=1, min_samples_split=2, min_weight_fraction_leaf=0.0...
classsklearn.ensemble.RandomForestClassifier(n_estimators=10, crite-rion=’gini’, max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=’auto’, max_leaf_nodes=None, bootstrap=True, oob_score=False, n_jobs=1, ran-dom_state=None, verbose=...
2.2RandomForestClassifier 2.2.1重要参数 2.2.1控制基评估器的参数 2.2.2 n_estimators 2.2.3random_state 2.2.4bootstrap & oob_score 2.2.2重要属性和接口 3.随机森林回归器 3.1RandomForestRegressor 3.2随机森林回归器的简单应用代码 1.集成算法概述 ...
sklearn中的随机森林是基于RandomForestClassifier类实现的,它的原型是 class RandomForestClassifier(ForestClassifier) 继承了一个抽象类ForestClassifier,也就是分类树 RandomForestClassifier有若干个参数,下面我们一个个来看: n_estimators 随机森林中树的个数 默认为10 ...
2 RandomForestClassifier classsklearn.ensemble.RandomForestClassifier(n_estimators=’10’,criterion=’gini’,max_depth=None,min_samples_split=2,min_samples_leaf=1,min_weight_fraction_leaf=0.0,max_features=’auto’,max_leaf_nodes=None,min_impurity_decrease=0.0,min_impurity_split=None,bootstrap=True...
“ JavaScript 中的一切都发生在一个执行上下文中。” 我希望每个人都记住这句话，因为它是必不可 ...
classsklearn.ensemble.RandomForestClassifier( n_estimators=10,criterion='gini',max_depth=None,min_samples_split=2,min_samples_leaf=1,min_weight_fraction_leaf=0.0,max_features='auto',max_leaf_nodes=None,min_impurity_decrease=0.0,min_impurity_split=None,bootstrap=True,oob_score=False,n_jobs=1...
百度试题 结果1 题目sklearn.ensemble.RandomForestClassifier()是一种数据降维方法。()A.对B.错 相关知识点: 试题来源: 解析 B 反馈 收藏