使用Python seaborn/matplotlib结合pretty-print-confusion-matrix可以制作好看的confusion matrix了。 import numpy as np import pandas as pd from pretty_confusion_matrix import pp_matrix #调用pp_matrix #pandas dataframe数据准备
参考:Python中生成并绘制混淆矩阵(confusion matrix) 参考:How to format xticklabels in a confusion matrix plotted with scikit-learn / matplotlib? 二、创建 Confusion Matrix (方法二) import seaborn as sns from sklearn.metrics import confusion_matrix import matplotlib.pyplot as plt # 两个数组存储在npy...
依赖:keras,matplotlib,numpy,seaborn,tensorflow,sklearn importkerasimportmatplotlib.pyplotaspltimportnumpyasnpimportseabornassnsfromsklearn.metricsimportconfusion_matrix# === dataset ===withnp.load('mnist.npz')asf:x_train,y_train=f['x_train'],f['y_train']x_test,y_test=f['x_test'],f['y_...
import matplotlib.pyplot as plt from sklearn.metrics import plot_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) plt.ylabel('True Lab...
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...
问R中knn分类的confusionMatrix方法EN真味是淡至如常。 KNN图像分类 链接 摘自大佬的笔记，拿来细细品味,别是一番滋味。 import numpy as np import os import pickle import matplotlib.pyplot as plt import h5py import scipy from PIL import Image from scipy import ndimage def distance(X_test, X_train)...
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 ...
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(...
问sklearn confusion_matrix在错误的位置显示错误的尺寸/刻度线ENeglot 用得一直很顺，有一点不舒服的...
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、...