(2) 算法描述：
(3)
1 ); 20 $con = explode( ,$result[$j]); 21 array_push($array,$con); 22 } 23 array_splice($array,0,1); 24 return $array; 25 } 26 //-------------------------------------------------------------------- 27 28 29 /* 30 *naivebayes朴素贝叶斯算法 31 *$test:测试文本；$train：训练文本；$flagsyes：yes；$flagsno：no 32 */ 33 //-------------------------------------------------------------------- 34 function naivebayes($test,$train,$flagsyes,$flagsno) 35 { 36 $count_yes = 0; 37 $num = count($train[0]); 38 for($i=1;$i
); 63 print_r($count_yes.
); 64 print_r($count_no.
); 65 print_r($array_no[$i].
); 66 */ 67 } 68 69 $py=1; 70 $pn=1; 71 for($i=1;$i$pn)return $flagsyes; 80 else return $flagsno; 81 82 /* print_r($py.
); 83 print_r($pn.
); 84 */ 85 86 } 87 //-------------------------------------------------------------------- 88 89 $train = getfilecontent(train.txt); 90 $test = getfilecontent(test.txt); 91 92 for($i=1;$i