Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib - wcipriano/pretty-print-confusion-matrix
Compare Plots The given example suggests a connection between age and speed. However, if we include observations from another day and create a scatter plot, will we discover different information? Example Draw two plots on the same figure: import matplotlib.pyplot as plt import numpy as np #day...
def plot_confusion_matrix(cm, classes, title, normalize=False, file='confusion_matrix', cmap='gray_r', linecolor='k'): if normalize: cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis] cm_title = 'Confusion matrix, with normalization' else: cm_title = title fmt = '.3f'...
注意：在metrics.confusion_matrix()函数中粘贴您自己的测试和训练数据名称。
matplotlib 使用Sklearn中的ConfusionMatrixDisplay规范化颜色Map图以绘制混淆矩阵让我们手动尝试imshow和...
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?
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matplotlib 使用Sklearn中的ConfusionMatrixDisplay规范化颜色Map图以绘制混淆矩阵让我们手动尝试imshow和...
figure(figsize=(12, 12)) sns.heatmap(conf_matrix, xticklabels=LABELS, yticklabels=LABELS, annot=True, fmt="d") plt.title("Confusion matrix") plt.ylabel('True class') plt.xlabel('Predicted class') plt.show() Example #20Source File: run.py From fullrmc with GNU Affero General Public...
confusion_matrix = torch.zeros(nb_classes, nb_classes) with torch.no_grad(): for i, (inputs, target, classes, im_path) in enumerate(dataLoaders['test']): inputs = inputs.to(device) target = target.to(device) outputs = model(inputs) ...