auto_awesome AI tashxis tizimi · 3 ta model

Diabetni erta
aniqlang

LightGBM, HistGradientBoosting va FT-Transformer modellari yordamida sog'lom, prediabet va diabet holatini aniqlash.

hub
LightGBM
LightGBM ansambl modeli
account_tree
HistGradientBoosting
HistGradientBoosting ansambl modeli
auto_awesome
FT-Transformer
FT-Transformer chuqur o‘qitish modeli

Model Metrikalari

Barcha modellarning batafsil ishlash ko'rsatkichlari

bolt LightGBM

check_circle Accuracy94.2%
gps_fixed Precision94.1%
filter_center_focus Recall94.2%
stars F1-Score94.2%
Sog'lom F1
94.2%
Prediabet F1
91.5%
Diabet F1
96.8%
Confusion Matrix
SPD
S762402
P4973125
D322780

auto_graph HistGradientBoosting

check_circle Accuracy93.9%
gps_fixed Precision93.9%
filter_center_focus Recall93.9%
stars F1-Score93.9%
Sog'lom F1
93.8%
Prediabet F1
91.1%
Diabet F1
96.8%
Confusion Matrix
SPD
S760422
P5472823
D324778

hub FT-Transformer

check_circle Accuracy92.7%
gps_fixed Precision92.7%
filter_center_focus Recall92.7%
stars F1-Score92.7%
Sog'lom F1
93.4%
Prediabet F1
89.2%
Diabet F1
95.5%
Confusion Matrix
SPD
S759432
P6171232
D137767

info Dataset haqida

Jami bemorlar12,066
Har bir sinf4,022
O'qitish80%
Test20%
Xususiyatlar13 ta
Sinflar3 ta

Tashxis Tarixi

Oldingi natijalar

DiabetAI v3.0 — LightGBM · HistGradientBoosting · FT-Transformer 12,066 ta ma'lumot asosida