2024-05-15 02:01:28 发布
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我正在建立一个人工神经网络,我实现了K-折叠交叉验证,通过这些方法返回的精度的均值和方差来评估模型。你知道吗
现在我想绘制四个圆形图表(作为目标)来“说明”模型所处的偏差-方差权衡类别,这取决于方差和精度的值。你知道吗
在Python中有这样一种方法吗?你知道吗
我写了一个简单的例子
import numpy as np import matplotlib.mlab as mlab import matplotlib.pyplot as plt labels = ['USA', 'China', 'India', 'Japan', 'Germany', 'Russia', 'Brazil', 'UK', 'France', 'Italy'] quants = [15094025.0, 11299967.0, 4457784.0, 4440376.0, 3099080.0, 2383402.0, 2293954.0, 2260803.0, 2217900.0, 1846950.0] def draw_pie(labels,quants): plt.figure(1, figsize=(6,6)) # For China, make the piece explode a bit expl = [0,0.1,0,0,0,0,0,0,0,0] # Colors used. Recycle if not enough. colors = ["blue","red","coral","green","yellow","orange"] # autopct: format of "percent" string; plt.pie(quants, explode=expl, colors=colors, labels=labels, autopct='%1.1f%%',pctdistance=0.8, shadow=True) plt.title('Top 10 GDP Countries', bbox={'facecolor':'0.8', 'pad':5}) plt.show() draw_pie(labels,quants)
enter image description here
我写了一个简单的例子
enter image description here
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