我在从 scikit-learn 导入机器学习算法时遇到问题。我已经安装了它,但是每当我输入例如“from sklearn.naive_bayes import GaussianNB”时,它都会说“‘from’不被识别为内部或外部命令、可操作程序或批处理文件。我在 Windows 10 上使用 Anaconda。是它兼容性问题?我错过了什么吗?Idk 我还是 Python 的新手,所以我...
from sklearn.naive_bayes import GaussianNB start = time.perf_counter() sk_nb = GaussianNB() sk_nb.fit(X_train, y_train).predict(X_test) sk_predictions = sk_nb.predict(X_test) end = time.perf_counter() print(f"scikit-learn Naive Bayes accuracy: {accuracy_score(y_test, sk_prediction...
fromsklearnimportdatasetsfromsklearn.model_selectionimportcross_val_scorefromsklearn.linear_modelimportLogisticRegressionfromsklearn.naive_bayesimportGaussianNBfromsklearn.ensembleimportRandomForestClassifierfromsklearn.ensembleimportVotingClassifier iris = datasets.load_iris() X, y = iris.data[:,1:3], iris...
naive_bayes import GaussianNB from sklearn.svm import SVC import numpy as np train.info() <class 'pandas.core.frame.DataFrame'> RangeIndex: 891 entries, 0 to 890 Data columns (total 9 columns): Survived 891 non-null int64 Pclass 891 non-null int64 Sex 891 non-null int64 Age 891 non-...
from sklearn.naive_bayes import GaussianNB from sklearn.ensemble import GradientBoostingClassifier from xgboost import XGBClassifier,XGBRegressor from catboost import CatBoostClassifier,CatBoostRegressor from sklearn.ensemble import RandomForestClassifier,RandomForestRegressor ...
A、from sklearn.datasets import fetch_20newsgroups B、from sklearn.naive_bayes import GaussianNB C、from sklearn.feature_extraction.text import TfidfVectorizer D、from sklearn.linear_model import Perceptron 点击查看答案 第4题 为了使用主成分分析法(principal component analysis) 对iris数据集进行特征降...
fromsklearn.preprocessingimportLabelEncoderle=LabelEncoder()le.fit(titanic['sex'])le.transform(titanic['sex']) 但是用le有可能指定male为0,所以手动指定。 和上面处理sex的目的相同,将从登船港口参数化,并且缺失的两个值单独赋值 titanic['embarked']=titanic['Embarked']titanic['embarked']=titanic['embarked...
我在从 scikit-learn 导入机器学习算法时遇到问题。我已经安装了它,但是每当我输入例如“from sklearn.naive_bayes import GaussianNB”时,它都会说“‘from’不被识别为内部或外部命令、可操作程序或批处理文件。我在 Windows 10 上使用 Anaconda。是它兼容性问题?我错过了什么吗?Idk 我还是 Python 的新手,所以我...
A.150 B.4 C.600 D.154 查看答案