from sklearn import metrics 或者,如果你只需要使用metrics模块中的某个特定函数,可以直接从metrics模块导入该函数,例如: python from sklearn.metrics import accuracy_score 如果以上步骤都正确无误,但仍然出现导入错误,可能是由于以下几个原因: 版本不兼容:你安装的scikit-learn版本可能与你的代码或依赖的其他库...
通过代码“from sklearn import metrics”引入评价指标模块后,面对真实标签true()label和模型预测标签predicted()label,混淆矩阵可通过调用()代码得到。 答案:A.confusion()matrix(true()labe, predicted()label) B.conf... 你可能感兴趣的试题 问答题
classification import *`` Platform ImportError: cannot import name '_Scorer' from 'sklearn.metrics._scorer' (/opt/conda/lib/python3.10/site-packages/sklearn/metrics/_scorer.py) Installation Method pip install pycaret Version pycaret-3.3.2-py3 Python Version python3.10 Description I got it the ...
from sklearn.metrics import roc_auc_score auc_score = roc_auc_score(y_test,y_pred) 说明: y_pred即可以是类别,也可以是概率。 roc_auc_score直接根据真实值和预测值计算auc值,省略计算roc的过程。 1# -*- coding: utf-8 -*-2"""3# 作者:wanglei52054# 邮箱:wanglei5205@126.com5# 博客:http...
问ImportError:无法从“sklearn.metrics”导入名称“plot_confusion_matrix”EN这是因为在 sktime 依赖项中...
ImportError: cannot import name ‘calinski_harabaz_score‘ from ‘sklearn.metrics‘ (64条消息) ImportError: cannot import name ‘calinski_harabaz_score‘ from ‘sklearn.metrics‘_ZSYL的博客-CSDN博客
from pandasimportread_csv from pandasimportDataFrame from pandasimportconcat from sklearn.preprocessingimportMinMaxScaler from tensorflow.keras.modelsimportSequential from tensorflow.keras.layersimportLSTM,Dense,Dropout from numpyimportconcatenate from sklearn.metricsimportmean_squared_error,mean_absolute_error,r2...
报cannot import name 'DistanceMetric' from 'sklearn.metrics'。 先用pip list看看版本 大概率应该是imblearn版本太新了依赖需要最新的sklearn库。 找了一下site-package发现不熟imblearn的问题,pip默认下载的是最新版本的0.9.0,我删了再下个0.6.2的版本仍然报这个错。
from sklearn.metrics import accuracy_score import matplotlib.pyplot as plt import numpy as np # Load sample data X, y = load_breast_cancer(return_X_y=True) # Split data into train and test sets X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_st...
sklearn model_selection X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.33, shuffle=Falserandom_state=42) Metrics fromsklearn.metricsimportclassification_report,accuracy_score y_prob = self.model.predict(self.X_train)...