ok i did more tests..

getting the source
https://github.com/ianbarber/php-svm/blob/master/tests/002_predict.phpt  modified ..
<?php
$svm = new svmmodel();
//$result = $svm->load(dirname(__FILE__) . '/australian.model');
$result = $svm->load('australian.model');

if($result) {
    $data = array(
        "1" => 1,
        2 => -0.731729,
        3 => -0.886786,
        4 => -1,
        5 => 0.230769,
        "6" => -0.25,
        7 => -0.783509,
        8 => 1,
        9 => 1, 
        10 => "-0.820896",
        11 => -1, 
        13 => -0.92,
        "14" => "-1"
    );
    $result = $svm->predict($data);
    if($result > 0) {
        echo "ok";
        print_r($result);
    } else {
        echo "predict failed: $result";
    }
} else {
    echo "loading failed";
}
?>

with additional https://github.com/ianbarber/php-svm/blob/master/tests/australian.scale dropped inside the test folder where .php file is located i am able after running to get the result:
================================

ok1  

so it's work

i forgot a detail!
the installation folders if you think to install it manually in windows xampp should be  c:\xampp\php\lib\libsvm-3.1 (for the files i described in the first post) and extension in c:\xampp\php\ext (php_svm.dll)

works.good luck

from pecl.php.net i download svm php_svm-0.2.3-8.1-ts-vs16-x64.zip so i read in README.md ..

=====================================================
Data is supplied in either a file, a stream, or as an an array. If supplied in a file or a stream, it must contain one line per training example, which must be formatted as an integer class (usually 1 and -1) followed by a series of feature/value pairs, in increasing feature order. The features are integers, the values floats, usually scaled 0-1. For example:

    -1 1:0.43 3:0.12 9284:0.2

=====================================================

so creating traindata.txt with the content  -1 1:0.43 3:0.12 9284:0.2 leads me to use it in the second example:

<?php
$svm = new SVM();
$model = $svm->train("traindata.txt");
$model->save('model2.svm');
?>

and running and editing the model2.svm i got the content:
-------------------------------------------------------------------
svm_type c_svc
kernel_type rbf
gamma 0.00010771219302024989
nr_class 1
total_sv 0
rho
label -1
nr_sv 0
SV
--------------------------------------------------------------------

so yes i think it's work, how i said i need to do more tests to get control with main functions to think to other more complicated

premises:php 8.1 ,windows 64
----------------------------------

install (for beginners)
--------
after i visit https://github.com/ianbarber/php-svm

and i got from url found on page(install script) 
..  http://www.csie.ntu.edu.tw/~cjlin/cgi-bin/libsvm.cgi?+http://www.csie.ntu.edu.tw/~cjlin/libsvm+tar.gz

and manual install it:
1.php.ini
 (after the main group extension=... about 12 pieces)
...
extension=svm
...

2.I put manually inside php a folder called libsvm-3.1 then i unzip there libsvm.dll , libsvmread.mexw64 ,libsvmwrite.mexw64 , svmpredict.mexw64 , svm-predict.exe, svm-scale.exe , svm-toy.exe , svmtrain.mexw64, svm-train.exe !

running 
<?php

$data = array(
    array(-1, 1 => 0.43, 3 => 0.12, 9284 => 0.2),
    array(1, 1 => 0.22, 5 => 0.01, 94 => 0.11),
);

$svm = new SVM();
$model = $svm->train($data);

$data = array(1 => 0.43, 3 => 0.12, 9284 => 0.2);
$result = $model->predict($data);
var_dump($result);
$model->save('model.svm');

?>

via server(apache ,php,mariadb;even custom or xampp) now i got results:
i got model.svm with the content
================================
svm_type c_svc
kernel_type rbf
gamma 0.00010771219302024989
nr_class 2
total_sv 2
rho 0
label 1 -1
nr_sv 1 1
SV
1 1:0.22 5:0.01 94:0.11 
-1 1:0.43 3:0.12 9284:0.2 
=================================

so i think is very cool ..for a startup.
i will look around phpt files from github to understand why in yesterday's tests i got errors with some function witch require 2 parameters and not one like in the manual

the example rated negative rated by the guy sign  "6765419 at qq dot com"  also works too!

<?php
$data = array(
            array(-1, 1 =>170, 2 => 60),//-1  表示男生，key 1表示身高，key 2表示体重=Represents a boy, key 1 represents height, key 2 represents weight
            array(-1, 1 =>180, 2 => 70),
            array(1, 1 => 160, 2 => 46),//1  表示女生，key 1表示身高，key 2表示体重=Represents a girl, key 1 represents height, key 2 represents weight
            array(1, 1 => 155, 2 => 40),
        );
$svm = new SVM();
$model = $svm->train($data);
$data = array( 1 => 165, 2 =>60);//测试数据 =Test Data
$result = $model->predict($data);
echo var_dump($result);//echo var_export($result);
//return;
?>

so i got :

float(-1)