机器学习各种算法结果可视化比对

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VIP免费原创最新推荐文章于 2026-03-24 00:13:53 发布 4.6k 阅读 AI 写同款· GEO 优化 ›

这几个算法可视化网站，太牛了！很多初学者在学习数据结构与算法的时候，都会觉得很难，很大一部分是因为数据结构与算法本身比较抽象，不好理解。对于这一点，可以通过一些可视化动画来帮助理解。阅读详情

代码执行前首先要安装所包含的各种模块

print(__doc__)

# Modified for documentation by Jaques Grobler
# License: BSD 3 clause

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from sklearn.cross_validation import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.datasets import make_moons, make_circles, make_classification
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.lda import LDA
from sklearn.qda import QDA

h = .02  # step size in the mesh

names = ["Nearest Neighbors", "Linear SVM", "RBF SVM", "Decision Tree",
         "Random Forest", "AdaBoost", "Naive Bayes", "LDA", "QDA"]
classifiers = [
    KNeighborsClassifier(3),
    SVC(kernel="linear", C=0.025),
    SVC(gamma=2, C=1),