参考:Confusion matrix 参考:Matplotlib setting title bold while using "Times New Roman" 参考:seaborn.heatmap 参考:Choosing Colormaps in Matplotlib(colorbar关键字) 一、创建 Confusion Matrix (方法一) import numpy as np import seaborn as sns from sklearn.metrics import confusion_matrix import matplotl...
importmatplotlib.pyplot as plt fromsklearn.metricsimportplot_confusion_matrix color='white' matrix=plot_confusion_matrix(knn, X_test, y_test, cmap=plt.cm.Blues) matrix.ax_.set_title('Confusion Matrix', color=color) plt.xlabel('Predicted Label', color=color) ...
metrics import confusion_matrix import matplotlib.pyplot as plt import seaborn as sns # Synthetic Dataset X, y = make_classification(n_samples=1000, n_features=20, n_classes=2, random_state=42) # Split into Training and Test Sets X_train, X_test, y_train, y_test = train_test_split(...
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib - wcipriano/pretty-print-confusion-matrix
importmatplotlib.pyplotasplt importnumpy fromsklearnimportmetrics actual = numpy.random.binomial(1,.9,size =1000) predicted =numpy.random.binomial(1,.9,size =1000) confusion_matrix =metrics.confusion_matrix(actual, predicted) cm_display =metrics.ConfusionMatrixDisplay(confusion_matrix = confusion_matr...
import matplotlib.pyplot as plt import seaborn as sns import seaborn.objects as so from sklearn.datasets import make_classification from sklearn.model_selection import train_test_split from sklearn.linear_model import LogisticRegression from sklearn.metrics import confusion_matrix ...
plot method is added in version 3.0 in order to plot a confusion matrix using Matplotlib or Seaborn. >>> cm.plot() >>> from matplotlib import pyplot as plt >>> cm.plot(cmap=plt.cm.Greens, number_label=True, plot_lib="matplotlib") >>> cm.plot(cmap=plt.cm.Reds, normalized=True, ...
Code # -*-coding:utf-8-*- from sklearn.metrics import confusion_matrix import matplotlib.pyplot as plt import numpy as np #labels表示你不同类别的代号,比如这里的demo中有13个类别 labels = ['A', 'B', 'C', 'F', 'G', 'H ...
生成confusion_matrix热力图 In [17] import seaborn as sn import matplotlib.pyplot as plt plt.figure(figsize=(10, 6),dpi=100) sn.heatmap(confusion_matrix(R, P), annot=True) <matplotlib.axes._subplots.AxesSubplot at 0x7f2328a3f150> <Figure size 1000x600 with 2 Axes> 输出各类的precision、...
A confusion matrix is used for evaluating the performance of a machine learning model. Learn how to interpret it to assess your model's accuracy.