当然,基于你给出的导入语句和提示,我将为你详细解释如何使用plot_confusion_matrix函数来生成混淆矩阵图。下面我将分点进行说明,并包含必要的代码片段。 1. 导入必要的库 首先,我们需要导入plot_confusion_matrix函数,这是从sklearn.metrics模块中获取的。你已经给出了正确的导入语句: python from sklearn.metrics im...
plot_confusion_matrix(your_model, X_test, y_test, ax=ax) -Hovanes Gasparian 2 我使用set_figwidth和set_figheight来指定图形的大小: from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay import matplotlib.pyplot as plt disp = ConfusionMatrixDisplay.from_predictions( [0,1,1,0,1],...
用法: sklearn.metrics.plot_confusion_matrix(estimator, X, y_true, *, labels=None, sample_weight=None, normalize=None, display_labels=None, include_values=True, xticks_rotation='horizontal', values_format=None, cmap='viridis', ax=None, colorbar=True) 已弃用:函数plot_confusion_matrix在 1.0 ...
问如何在sklearn.metrics包中更改plot_confusion_matrix默认图形大小EN第一步：修改IIS设置，允许直接编辑...
plot_confusion_matrix(X = test_generator.classes, y_true = y_pred,labels= category_names, normalize=False) 文档:https://scikit-learn.org/stable/modules/generated/sklearn.metrics.plot_confusion_matrix.html - Subbu VidyaSekar 谢谢,但现在它出现了一个错误:“plot_confusion_matrix()得到了一个意外...
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...
在分类模型的性能评估指标总结中,已讲过混淆矩阵形式,接下来将介绍如何通过sklearn库中的confusion_matrix函数快速获得混淆矩阵。 语法格式 sklearn.metrics.confusion_matrix(y_true,y_pred,*,labels=None,sample_weight=None,normalize=None) 参数解释:
class ConfusionMatrixDisplay: """Confusion Matrix visualization. It is recommend to use :func:`~sklearn.metrics.plot_confusion_matrix` to create a :class:`ConfusionMatrixDisplay`. All parameters are stored as attributes. Read more in the :ref:`User Guide <visualizations>`. Parameters --- ...
1.confusion_matrix 2.classification_report 3.roc_curve, auc 回到顶部 1.confusion_matrix 理论部分见https://www.cnblogs.com/cxq1126/p/12990784.html#_label2 1fromsklearn.metricsimportconfusion_matrix23#if y_true.shape=y_pred.shape=(N,)4tn, fp, fn, tp = confusion_matrix(y_true, y_pred,...
Normalize the confusion matrix to get proportions Run this code first Before you run the examples, you’ll have to run some setup code first. Here, we’re going to: Make a classification dataset withSklearn make_classification Plot the datawith sns.scatterplot ...