Klasifikasi

Sistem klasifikasi perilaku driver ojek mahasiswa Universitas Malikussaleh.

Proses Klasifikasi Random Forest

Klik tombol di bawah untuk menjalankan proses training dan klasifikasi menggunakan metode Random Forest berdasarkan dataset kuesioner.




Hasil Klasifikasi

No Nama Driver Hasil Klasifikasi Confidence Tanggal
1 Driver 21 Kurang Baik 91.00% 09/07/2026 04:22
2 Test Driver 1 Kurang Baik 91.00% 09/07/2026 04:22
3 Test Driver 10 Baik 100.00% 09/07/2026 04:22
4 Test Driver 11 Baik 100.00% 09/07/2026 04:22
5 Test Driver 12 Baik 100.00% 09/07/2026 04:22
6 Test Driver 13 Baik 100.00% 09/07/2026 04:22
7 Test Driver 14 Baik 100.00% 09/07/2026 04:22
8 Test Driver 15 Baik 100.00% 09/07/2026 04:22
9 Test Driver 16 Baik 89.00% 09/07/2026 04:22
10 Test Driver 17 Baik 87.00% 09/07/2026 04:22
11 Test Driver 18 Kurang Baik 73.00% 09/07/2026 04:22
12 Test Driver 19 Cukup Baik 70.00% 09/07/2026 04:22
13 Test Driver 2 Kurang Baik 93.00% 09/07/2026 04:22
14 Test Driver 20 Cukup Baik 63.00% 09/07/2026 04:22
15 Test Driver 3 Kurang Baik 81.00% 09/07/2026 04:22
16 Test Driver 4 Kurang Baik 43.00% 09/07/2026 04:22
17 Test Driver 5 Kurang Baik 44.00% 09/07/2026 04:22
18 Test Driver 6 Kurang Baik 85.00% 09/07/2026 04:22
19 Test Driver 7 Kurang Baik 92.00% 09/07/2026 04:22
20 Test Driver 8 Baik 100.00% 09/07/2026 04:22
21 Test Driver 9 Baik 100.00% 09/07/2026 04:22