擅长:python、mysql、java
<p>该解决方案基于Space_c0wb0yspost。在</p>
<pre><code>fig = pylab.figure()
ax = fig.add_subplot(111)
ax.plot( range(1,10), camean - 25, 'ro-' )
ax.plot( range(1,10), oemean , 'go-' )
ax.plot( range(1,10), hlmean , 'bo-' )
ax.set_yticks(range(5, 60, 5))
ax.set_yticklabels(["5","10","15","20","25","30","...","65","70","75"])
ax.legend(('ClassificationAccuracy','One-Error','HammingLoss'),loc='upper right')
pylab.show()
</code></pre>
<p>此代码创建以下图形。<img src="https://i.stack.imgur.com/gzXHH.png" alt="enter image description here"/></p>