Use Seaborn to Plot Confusion Matrix in Python Using Seaborn allows us to create different-looking plots without dwelling much into attributes or the need to create nested loops. Below is the library package needed to plot our confusion matrix. ...
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 ...
我对Python和深度学习还不熟悉,我训练了一个多分类器模型并想要画出混淆矩阵,但是遇到了一个错误。以下是我的代码: from sklearn.metrics import plot_confusion_matrix import matplotlib.pyplot as plt from sklearn.metrics import ConfusionMatrixDisplay Y_pred = model.predict_generator(test_generator) y_pred...
而在plot_confusion_matrix中，你是在传递X_test和y_hat。你需要确定你想传递给每个方法的数据数组。
matrix的值不相等？在我看来，你是用y_hat数据集传递y_test数据集，而在plot_confusion_matrix中，你...
plot_matrix.py Create plot_matrix.py Jan 8, 2024 Repository files navigation README Plot-confusion-matrix Plot and save simple confusion matrix using Python. The overall graph looks like this:About Plot simple confusion matrix using Python Resources Readme Activity Stars 0 stars Watchers 1 ...
我尝试使用sklearn.metrics.plot_confusion_matrix包在Jupyter笔记本中绘制混淆矩阵,但默认的图像尺寸有点小。我在绘图之前添加了plt.figure(figsize=(20, 20)),但输出文本显示'Figure size 1440x1440 with 0 Axes',图像大小并未改变。我该如何更改图像大小?
plot_confusion_matrix(cm, cm_plot_labels, title="Confusion Matrix") // this line, I faced an error 误差如下:, --- NameError Traceback (most recent call last) <ipython-input-28-43b96d543746> in <module>() 1 cm_plot_labels = ['diseaseAffectedEggplant','freshEggplant...
fromsklearn.utils.multiclassimportunique_labelsdefplot_confusion_matrix(y_true,y_pred,classes,normalize=False,title=None,cmap=plt.cm.Blues):"""This function prints and plots the confusion matrix.Normalization can be applied by setting `normalize=True`."""ifnottitle:ifnormalize:title='Normalized ...
After creating the importance matrix in xgboost, I would like to increase the size of the text. Can you guide me on how to achieve this? gg <- xgb.ggplot.importance(importance_matrix = a,top_n = 15) Solution: Utilizetheme()for enhancing the size of the font. ...