在python，Scikit-learn的SVM算法

# -*- coding: utf-8 -*-
"""
Created on Mon Aug 21 12:51:31 2017

@author: Administrator
"""
from sklearn.ensemble import RandomForestClassifier 
import pandas as pd
import numpy as np
import pandas as pd
import xgboost as xgb
from pandas import DataFrame
import matplotlib.pyplot as plt
from sklearn.svm import SVC  
## 读取训练集的数据

train_data = pd.read_table('X_train.txt',header=None,encoding='gb2312',delim_whitespace=True,index_col=0)
predict_data= pd.read_table('X_test.txt',header=None,encoding='gb2312',delim_whitespace=True,index_col=0)
train_label= pd.read_table('y_train.txt',header=None,encoding='gb2312',delim_whitespace=True,index_col=0)
predict_label= pd.read_table('y_test.txt',header=None,encoding='gb2312',delim_whitespace=True,index_col=0)


train_label=train_label.reset_index()-1
predict_label=predict_label.reset_index()-1


def random_tree_predict_accurate(m,n,train_data,train_label,predict_data,predict_label):

    sample_number=m*train_data.shape[0]
    sample_aspect=n*train_data.shape[1]
    sample_train_data=train_data.iloc[:int(sample_number),:int(sample_aspect)]
    sample_train_label=train_label.iloc[:int(sample_number),:]

    predict_label_column=list(predict_label.columns)
    predict_label.rename(columns={predict_label_column[0]: 'label'}, inplace=True) 

    clf= SVC()
    bst=clf.fit(sample_train_data, sample_train_label)
    ypred1=bst.predict(predict_data)   
    ypred1 = DataFrame(ypred1)
    ypred1_column=list(ypred1.columns)
    ypred1.rename(columns={ypred1_column[0]: 'label'}, inplace=True) 
    ac_middle=predict_label-ypred1
    ac_middle_number=ac_middle[ac_middle['label']==0]
    accurate=float(ac_middle_number.shape[0])/predict_label.shape[0]    
    return accurate



accurate_vary=[]
m=0.001
while m<=1:
    print m
    # 测试集样本的个数
    m=m+0.1
    #测试集特征的个数
    n=1
    #用xgboost算法
    accurate=random_tree_predict_accurate(m,n,train_data,train_label,predict_data,predict_label)
    accurate_vary.append(accurate)

plt.xlabel('number of data')
plt.ylabel('accurate')        
plt.plot(accurate_vary,color="red",  linewidth=2.5, linestyle="-") 

参考的文献：
http://www.cnblogs.com/harvey888/p/5852687.html
http://blog.youkuaiyun.com/zouxy09/article/details/17292011