Java實(shí)現(xiàn)的樸素貝葉斯算法示例
本文實(shí)例講述了Java實(shí)現(xiàn)的樸素貝葉斯算法。分享給大家供大家參考,具體如下:
對(duì)于樸素貝葉斯算法相信做數(shù)據(jù)挖掘和推薦系統(tǒng)的小伙們都耳熟能詳了,算法原理我就不啰嗦了。我主要想通過java代碼實(shí)現(xiàn)樸素貝葉斯算法,思想:
1. 用javabean +Arraylist 對(duì)于訓(xùn)練數(shù)據(jù)存儲(chǔ)
2. 對(duì)于樣本數(shù)據(jù)訓(xùn)練
具體的代碼如下:
package NB;
/**
* 訓(xùn)練樣本的屬性 javaBean
*
*/
public class JavaBean {
int age;
String income;
String student;
String credit_rating;
String buys_computer;
public JavaBean(){
}
public JavaBean(int age,String income,String student,String credit_rating,String buys_computer){
this.age=age;
this.income=income;
this.student=student;
this.credit_rating=credit_rating;
this.buys_computer=buys_computer;
}
public int getAge() {
return age;
}
public void setAge(int age) {
this.age = age;
}
public String getIncome() {
return income;
}
public void setIncome(String income) {
this.income = income;
}
public String getStudent() {
return student;
}
public void setStudent(String student) {
this.student = student;
}
public String getCredit_rating() {
return credit_rating;
}
public void setCredit_rating(String credit_rating) {
this.credit_rating = credit_rating;
}
public String getBuys_computer() {
return buys_computer;
}
public void setBuys_computer(String buys_computer) {
this.buys_computer = buys_computer;
}
@Override
public String toString() {
return "JavaBean [age=" + age + ", income=" + income + ", student="
+ student + ", credit_rating=" + credit_rating + ", buys_computer="
+ buys_computer + "]";
}
}
算法實(shí)現(xiàn)的部分:
package NB;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.util.ArrayList;
public class TestNB {
/**data_length
* 算法的思想
*/
public static ArrayList<JavaBean> list = new ArrayList<JavaBean>();;
static int data_length=0;
public static void main(String[] args) {
// 1.讀取數(shù)據(jù),放入list容器中
File file = new File("E://test.txt");
txt2String(file);
//數(shù)據(jù)測試樣本
testData(25,"Medium","Yes","Fair");
}
// 讀取樣本數(shù)據(jù)
public static void txt2String(File file) {
try {
BufferedReader br = new BufferedReader(new FileReader(file));// 構(gòu)造一個(gè)BufferedReader類來讀取文件
String s = null;
while ((s = br.readLine()) != null) {// 使用readLine方法,一次讀一行
data_length++;
splitt(s);
}
br.close();
} catch (Exception e) {
e.printStackTrace();
}
}
// 存入ArrayList中
public static void splitt(String str){
String strr = str.trim();
String[] abc = strr.split("[\\p{Space}]+");
int age=Integer.parseInt(abc[0]);
JavaBean bean=new JavaBean(age, abc[1], abc[2], abc[3], abc[4]);
list.add(bean);
}
// 訓(xùn)練樣本,測試
public static void testData(int age,String a,String b,String c){
//訓(xùn)練樣本
int number_yes=0;
int bumber_no=0;
// age情況 個(gè)數(shù)
int num_age_yes=0;
int num_age_no=0;
// income
int num_income_yes=0;
int num_income_no=0;
// student
int num_student_yes=0;
int num_stdent_no=0;
//credit
int num_credit_yes=0;
int num_credit_no=0;
//遍歷List 獲得數(shù)據(jù)
for(int i=0;i<list.size();i++){
JavaBean bb=list.get(i);
if(bb.getBuys_computer().equals("Yes")){ //Yes
number_yes++;
if(bb.getIncome().equals(a)){//income
num_income_yes++;
}
if(bb.getStudent().equals(b)){//student
num_student_yes++;
}
if(bb.getCredit_rating().equals(c)){//credit
num_credit_yes++;
}
if(bb.getAge()==age){//age
num_age_yes++;
}
}else {//No
bumber_no++;
if(bb.getIncome().equals(a)){//income
num_income_no++;
}
if(bb.getStudent().equals(b)){//student
num_stdent_no++;
}
if(bb.getCredit_rating().equals(c)){//credit
num_credit_no++;
}
if(bb.getAge()==age){//age
num_age_no++;
}
}
}
System.out.println("購買的歷史個(gè)數(shù):"+number_yes);
System.out.println("不買的歷史個(gè)數(shù):"+bumber_no);
System.out.println("購買+age:"+num_age_yes);
System.out.println("不買+age:"+num_age_no);
System.out.println("購買+income:"+num_income_yes);
System.out.println("不買+income:"+num_income_no);
System.out.println("購買+stundent:"+num_student_yes);
System.out.println("不買+student:"+num_stdent_no);
System.out.println("購買+credit:"+num_credit_yes);
System.out.println("不買+credit:"+num_credit_no);
//// 概率判斷
double buy_yes=number_yes*1.0/data_length; // 買的概率
double buy_no=bumber_no*1.0/data_length; // 不買的概率
System.out.println("訓(xùn)練數(shù)據(jù)中買的概率:"+buy_yes);
System.out.println("訓(xùn)練數(shù)據(jù)中不買的概率:"+buy_no);
/// 未知用戶的判斷
double nb_buy_yes=(1.0*num_age_yes/number_yes)*(1.0*num_income_yes/number_yes)*(1.0*num_student_yes/number_yes)*(1.0*num_credit_yes/number_yes)*buy_yes;
double nb_buy_no=(1.0*num_age_no/bumber_no)*(1.0*num_income_no/bumber_no)*(1.0*num_stdent_no/bumber_no)*(1.0*num_credit_no/bumber_no)*buy_no;
System.out.println("新用戶買的概率:"+nb_buy_yes);
System.out.println("新用戶不買的概率:"+nb_buy_no);
if(nb_buy_yes>nb_buy_no){
System.out.println("新用戶買的概率大");
}else {
System.out.println("新用戶不買的概率大");
}
}
}
對(duì)于樣本數(shù)據(jù):
25 High No Fair No
25 High No Excellent No
33 High No Fair Yes
41 Medium No Fair Yes
41 Low Yes Fair Yes
41 Low Yes Excellent No
33 Low Yes Excellent Yes
25 Medium No Fair No
25 Low Yes Fair Yes
41 Medium Yes Fair Yes
25 Medium Yes Excellent Yes
33 Medium No Excellent Yes
33 High Yes Fair Yes
41 Medium No Excellent No
對(duì)于未知用戶的數(shù)據(jù)得出的結(jié)果:
購買的歷史個(gè)數(shù):9
不買的歷史個(gè)數(shù):5
購買+age:2
不買+age:3
購買+income:4
不買+income:2
購買+stundent:6
不買+student:1
購買+credit:6
不買+credit:2
訓(xùn)練數(shù)據(jù)中買的概率:0.6428571428571429
訓(xùn)練數(shù)據(jù)中不買的概率:0.35714285714285715
新用戶買的概率:0.028218694885361547
新用戶不買的概率:0.006857142857142858
新用戶買的概率大
更多關(guān)于java算法相關(guān)內(nèi)容感興趣的讀者可查看本站專題:《Java數(shù)據(jù)結(jié)構(gòu)與算法教程》、《Java操作DOM節(jié)點(diǎn)技巧總結(jié)》、《Java文件與目錄操作技巧匯總》和《Java緩存操作技巧匯總》
希望本文所述對(duì)大家java程序設(shè)計(jì)有所幫助。
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