矩阵'，'回想'，'精度'，'精度'上的数据未出现
这是我的代码控制器：
public function confusion_matrix()
{
$title = "Data Confusion Matrix";
$testing_data = DataTesting::count();
$klasifikasi = Klasifikasi::with('sentimen')->get();
$predictedLabels=[];
$actualLabels = [];
foreach($klasifikasi as $kelas){
$testing = DataTesting::where('id_testing',$kelas->id_testing)->first();
$twitter = TwitterStream::with('sentimen')->where('id_crawling',$testing->id_crawling)->first();
$predictedLabels[] = $kelas->sentimen->kategori;
$actualLabels[] = optional(optional($twitter)->sentimen)->kategori;
}
$getPrecision = new ControllerConfusionMatrix($actualLabels, $predictedLabels);
$accuracy = ControllerConfusionMatrix::score($actualLabels, $predictedLabels);
$recall = $getPrecision->getRecall();
$precision = $getPrecision->getPrecision();
foreach($precision as $index_pc => $value_pc){
$th[] = $index_pc;
}
sort($th);
$confusionMatrix = ControllerConfusionMatrix::compute($actualLabels, $predictedLabels,$th);
$matrix = array();
foreach($th as $index_th => $value){
$matrix[$value] = $confusionMatrix[$index_th];
if(!array_key_exists($value,$recall)){
$recall[$value] = 0;
}
if(!array_key_exists($value,$precision)){
$precision[$value] = 0;
}
}
ksort($precision);
return view('visualisasi.confusion_matrix', compact(['title','testing_data','confusionMatrix','th','matrix','recall','precision','accuracy']));
}
public function column_drilldown()
{
try {
$testing_data = DataTesting::count();
$klasifikasi = Klasifikasi::with('sentimen')->get();
$predictedLabels=[];
$actualLabels = [];
foreach($klasifikasi as $kelas){
$predictedLabels[] = $kelas->sentimen->kategori;
$testing = DataTesting::where('id_testing',$kelas->id_testing)->first();
$twitter = TwitterStream::where('id_crawling',$testing->id_crawling)->first();
$actualLabels[] = $twitter->sentimen->kategori;
}
$getPrecision = new ControllerConfusionMatrix($actualLabels, $predictedLabels);
$accuracy = ControllerConfusionMatrix::score($actualLabels, $predictedLabels);
$error_rate = ControllerConfusionMatrix::error_rate($actualLabels, $predictedLabels);
$recall = $getPrecision->getRecall();
$precision = $getPrecision->getPrecision();
$devide_recall = $getPrecision->getRecall();
$devide_precision = $getPrecision->getPrecision();
foreach ($devide_recall as $array_key1 => $array_item1) {
if ($devide_recall[$array_key1] == 0) {
unset($devide_recall[$array_key1]);
}
}
foreach ($devide_precision as $array_key2 => $array_item2) {
if ($devide_precision[$array_key2] == 0) {
unset($devide_precision[$array_key2]);
}
}
$sum_precision = array_sum($precision);
$count_precision = count($devide_precision);
$sum_recall = array_sum($recall);
$count_recall = count($devide_recall);
if($sum_precision == 0 && $count_precision == 0){
$total_precision = 0;
} else {
$total_precision = $sum_precision/$count_precision;
}
if($sum_recall == 0 && $count_recall == 0){
$total_recall = 0;
} else {
$total_recall = $sum_recall/$count_recall;
}
$data[] = [
'accuracy' => round($accuracy*100,2),
'precision' => $precision,
'recall' => $recall,
'error_rate' => round($error_rate*100,2),
'total_precision' => round($total_precision,2),
'total_recall' => round($total_recall,2),
];
return response()->json($data);
}
catch (\Exception $e) {
return response()->json(error);
}
}
当我在出现如下所示的返回数据之前添加代码dd(compact(['title','testing_data','confusionMatrix','th','matrix','recall','precision','accuracy']))
array:8 [▼
"title" => "Data Confusion Matrix"
"testing_data" => 100
"confusionMatrix" => array:4 [▼
0 => array:4 [▼
0 => 0
1 => 18
2 => 38
3 => 44
]
1 => array:4 [▼
0 => 0
1 => 0
2 => 0
3 => 0
]
2 => array:4 [▼
0 => 0
1 => 0
2 => 0
3 => 0
]
3 => array:4 [▼
0 => 0
1 => 0
2 => 0
3 => 0
]
]
"th" => array:4 [▼
0 => ""
1 => "negatif"
2 => "netral"
3 => "positif"
]
"matrix" => array:4 [▼
"" => array:4 [▶]
"negatif" => array:4 [▼
0 => 0
1 => 0
2 => 0
3 => 0
]
"netral" => array:4 [▼
0 => 0
1 => 0
2 => 0
3 => 0
]
"positif" => array:4 [▼
0 => 0
1 => 0
2 => 0
3 => 0
]
]
"recall" => array:4 [▼
"" => 0.0
"negatif" => 0.0
"netral" => 0.0
"positif" => 0.0
]
"precision" => array:4 [▼
"" => 0.0
"negatif" => 0.0
"netral" => 0.0
"positif" => 0.0
]
"accuracy" => 0
]
我的查看代码：
<table style="table-layout:fixed" id="table-negatif"
class="table table-striped table-bordered table-hover">
<thead>
<tr>
<th style="background-color:#F2F1EF"></th>
@foreach($th as $index_th => $head)
<th>
<center>Pred. {{$head}}<center>
</th>
@endforeach
<th>
<center>CLASS RECALL</center>
</th>
</tr>
</thead>
<tbody>
<?php $no=1; ?>
@foreach($matrix as $index_matrix => $value_m)
<tr>
<td align="center"><b>True. {{$index_matrix}}</b></td>
@foreach($value_m as $index_value => $value_v)
<td align="center">{{$value_v}}</td>
@endforeach
<td align="center">{{round($recall[$index_matrix],2)}}%</td>
</tr>
@endforeach
<tr>
<td align="center"><b>CLASS PRECISION</b></td>
@foreach($precision as $index_p => $value_p)
<td align="center">{{round($value_p,2)}}%</td>
@endforeach
<td style="background-color:#F2F1EF"></td>
</tr>
</tbody>
</table>
<hr>
{{-- <h4> Accuracy : <span id="accuracy">{{round($accuracy*100,2)}}</span>%</h4> --}}
</div>
<script type="text/javascript">
$(document).ready(function () {
$.ajaxSetup({
beforeSend: function (xhr, type) {
if (!type.crossDomain) {
xhr.setRequestHeader('X-CSRF-Token', $('meta[name="csrf-token"]').attr(
'content'));
}
},
});
var url = $('#url_root').val();
$.ajax({
type: "GET",
url: url + '/column-drilldown',
success: function (data) {
let precision = Object.entries(data[0].precision)
let recall = Object.entries(data[0].recall)
// Create the chart
Highcharts.chart('container', {
chart: {
type: 'column'
},
title: {
text: 'Persentase Confusion Matrix'
},
subtitle: {
text: ''
},
xAxis: {
type: 'category'
},
yAxis: {
title: {
text: ''
}
},
legend: {
enabled: false
},
plotOptions: {
series: {
borderWidth: 0,
dataLabels: {
enabled: true,
format: '{point.y:.2f}%'
}
}
},
tooltip: {
headerFormat: '<span style="font-size:11px">{series.name}</span><br>',
pointFormat: '<span style="color:{point.color}">{point.name}</span>: <b>{point.y:.2f}%</b> of total<br/>'
},
"series": [
{
"name": "Confusion Matrix",
"colorByPoint": true,
"data": [
{
"name": "Accuracy",
"y": data[0].accuracy,
},
{
"name": "Precision",
"y": data[0].total_precision,
"drilldown": "Precision"
},
{
"name": "Recall",
"y": data[0].total_recall,
"drilldown": "Recall"
},
{
"name": "Error Rate",
"y": data[0].error_rate,
}
]
}
],
"drilldown": {
"series": [
{
"name": "Precision",
"id": "Precision",
"data": precision,
},
{
"name": "Recall",
"id": "Recall",
"data": recall,
}
]
}
});
},
error: function (data) {
console.log('Error:', data);
new PNotify({
title: 'Error !',
text: 'Tidak Ada Yang Diproses',
type: 'error'
});
}
});
});
</script>
我无法从矩阵'，'回想'，'精度'，'精度'中获取值。