根据文档说明,正确导入plot_confusion_matrix函数: 如果你使用的是scikit-learn的较新版本(例如0.22及以上),你可以尝试以下导入方式: python from sklearn.metrics import plot_confusion_matrix 如果你使用的是较旧的版本,并且官方文档中并没有提到plot_confusion_matrix函数,那么你可能需要升级你的scikit-learn库,或...
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...
Actions Projects Security Insights New issue Open auroragaeta from Py_FS.evaluation import evaluate gives the following error "cannot import name 'plot_confusion_matrix' from 'sklearn.metrics' (/Desktop/Aurora/tesi/41.tesi_2023/venv3/lib/python3.8/site-packages/sklearn/metrics/init.py)" ...
`distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) C:\Users\CDA\anaconda3\li...
HvConfusionMatrixMeasure, HvDonutChartMeasure, HvLineChartMeasures, } from ".."; } from "../types"; import { HvChartCommonProps } from "../types/common"; import { HvChartLegendIcon } from "../types/legend"; import { HvScatterPlotMeasure } from "../types/measures"; 0 comments on ...
plt.title("Confusion matrix") plt.ylabel('True class') plt.xlabel('Predicted class') plt.show() 图5:测试预测的混淆矩阵 在32次的破损中,我们预测到了9次。注意,其中包括提前两或四分钟的预测。这一概率约为28%,对造纸业来说是一个不错的召回率。假阳性率约为6.3%。这对造纸厂来说不是最好的结果...
## Plot confusion matrixcm = metrics.confusion_matrix(y_test, predicted) fig, ax = plt.subplots sns.heatmap(cm, annot=True, fmt='d', ax=ax, cmap=plt.cm.Blues, cbar=False) ax.set(xlabel="Pred", ylabel="True", xticklabels=classes, ...