@extends('layouts.app') @section('content')
Total Runs
{{ $totalRuns }}
Menjalankan pipeline sebanyak {{ $totalRuns }} kali.
Avg Accuracy
{{ $avgAccuracy !== null ? number_format($avgAccuracy * 100, 2) . '%' : '-' }}
Rata-rata akurasi model.
Avg F1-score
{{ $avgF1 !== null ? number_format($avgF1 * 100, 2) . '%' : '-' }}
Rata-rata F1-score model.
Last Run
ID: {{ $lastRun->run_id }}
{{ $lastRun->run_timestamp->format('Y-m-d H:i') }}
Acc: {{ number_format($lastRun->accuracy, 4) }}, F1: {{ number_format($lastRun->f1_score, 4) }}
Size: {{ $lastRun->data_size }}, Duration: {{ $lastRun->training_duration }}s
Belum ada data run.
@endifProporsi kelas run Terbaru:
{{ $classMessage }}
Scatter plot memetakan setiap run: data_size vs accuracy.
Contoh: data_size={{ $lastRun->data_size ?? 0 }},
accuracy={{ number_format($lastRun->accuracy ?? 0, 4) }}.
{{ $scatterMessage }}
{{ $versionMessages[$vm->version] ?? '' }}
Titik awal: {{ $labels[0] ?? '–' }} / Acc={{ $accuracyData[0] ?? '–' }}, Titik akhir: {{ end($labels) ?? '–' }} / Acc={{ end($accuracyData) ?? '–' }}.
{{ $trendMessage }}