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9. Chọn và huấn luyện model

10. Kiểm thử


9.2. Ứng dụng mô hình đã chọn và so sánh dữ liệu

9.1. Chọn mô hình phù hợp

1-8. Preprocessing

X-Aggregator
Linear Correlation
Score mô hình đã PCANhánh dướ: Cross-validation
X-Partitioner
Parameter Optimization Loop End
loại bỏ các biến ít quan trọng
Column Filter
Scorer
Decision Tree Predictor
Parameter Optimization Loop Start
Decision Tree Predictor
Nhánh trên: Score khi chưa PCANhánh dưới: Cross-validation
X-Partitioner
X-Partitioner
Decision Tree Learner
X-Aggregator
Gradient Boosted Trees Predictor
90.9
Scorer
X-Partitioner
X-Partitioner
ROC Curve
X-Aggregator
Gradient Boosted Trees Learner
Line Plot
Bar Chart
Xử lý logic
Python Script
X-Aggregator
Recall 84%
Scorer
Parameter Optimization Loop Start
lọc các dòng high-risk
Row Filter
Parameter Optimization Loop End
High_Total
GroupBy
Parameter Optimization Loop End
Bin theo age
Binner
tính FN_Rate
Math Formula
Joiner
Test: Data gốc đã được thêm rows mớihttps://drive.google.com/file/d/1Qy4OT4crtIHABEibmybuICMeo2ewI_p-/view?usp=drive_link
CSV Reader
Data gốchttps://drive.google.com/file/d/1YS12Kk1akqdGGs2gu09Y7AZzG35_Z1rs/view?usp=drive_link
CSV Reader
lọc trùng id
Duplicate Row Filter
chuẩn albumin
Rule Engine
xóa action
Column Filter
chuẩn hiv
Rule Engine
chuẩn glucose
Rule Engine
chuẩn malaria
Rule Engine
Recall 89.8%
Scorer
X-Aggregator
X-Partitioner
has_tobacco_exposure
Rule Engine
ROC Curve
Line Plot
lọc FN
Rule-based Row Filter
Drop miscarriages_or_abortions
Column Filter
Parameter Optimization Loop Start
alcohol_or_drug_use
Rule Engine
Decision Tree Predictor
flag_anemia
Rule Engine
xử lý outliers pulse_rate_v1
Rule-based Row Filter
Column Filter
flag_hypertension
Rule Engine
Bin theo age
Binner
trimester
Rule Engine
xử lý outliers weight_kg_v1
Rule-based Row Filter
flag_high_glucose
Rule Engine
xử lý outliers hemoglobin_check_result_v1
Row Splitter
xử lý outliers no_prenancy
Row Splitter
xử lý outliers Age
Rule-based Row Filter
xử lý outliers pulse_rate_v1
Rule-based Row Filter
xử lý outliers height_cm
Row Splitter
xử lý outliers Age
Rule-based Row Filter
Check class imbalance
Statistics
FN_Count
GroupBy
xử lý outliers height_cm
Row Splitter
xử lý outliers weight_kg_v1
Rule-based Row Filter
Decision Tree Predictor
xử lý outliers respiratory_rate_v1
Row Splitter
xử lý outliers no_prenancy
Row Splitter
xử lý outliers pulse_rate_v1
Rule-based Row Filter
xử lý outliers respiratory_rate_v1
Row Splitter
Decision Tree Learner
xử lý outliers pulse_rate_v1
Rule-based Row Filter
Random Forest Predictor
xử lý outliers hemoglobin_check_result_v1
Row Splitter
X-Partitioner
xóa cột missing
Missing Value Column Filter
Gradient Boosted Trees Predictor
Gradient Boosted Trees Predictor
PCA ko hiệu quả với mô hình phân loại
PCA
92
Scorer
Random Forest Learner
X-Aggregator
Feature Selection Loop Start (1:1)
Gradient Boosted Trees Learner
Feature Selection Loop End
Linear Correlation
Scorer
Gradient Boosted Trees Learner
Decision Tree Predictor
Decision Tree Learner
String Manipulation (Multi Column)
đặt tên bp
Column Renamer
unknown
Missing Value
String Manipulation (Multi Column)
pulse
Rule Engine
Data đã hoàn thành xử lý. Dùng cho train model.
CSV Writer
mean
Missing Value
String to Number
chuẩn urine
Rule Engine
body temp
Rule Engine
đặt tên bp
Column Renamer
respiratory
Rule Engine
Data đã xử lý xong
Column Filter
tách bp
String Splitter (Regex)
xóa hằng số
Constant Value Column Filter
Xử lý logic
Python Script
mean + most
Missing Value
lọc các cột
Column Filter
Từ file biến quan trọng => lọc cột
Column Filter
Column Filter
lọc trùng id
Duplicate Row Filter
xóa hằng số
Constant Value Column Filter
xóa action
Column Filter
chuẩn albumin
Rule Engine
String Manipulation (Multi Column)
chuẩn glucose
Rule Engine
String Manipulation (Multi Column)
chuẩn hiv
Rule Engine
Data đã preprocessing.https://drive.google.com/file/d/1rFc57J8KWXb1IYXpMSQN4-lTQ5QeATsT/view?usp=drive_link
CSV Reader
respiratory
Rule Engine
chuẩn malaria
Rule Engine
chuẩn urine
Rule Engine
xóa cột missing
Missing Value Column Filter
pulse
Rule Engine
String to Number
Feature Selection Loop Start (1:1)
X-Aggregator
Scorer
body temp
Rule Engine
Scorer
mean + most
Missing Value
Column Filter
Feature Selection Loop End
Decision Tree Learner
Drop miscarriages_or_abortions
Column Filter
Recall 88%
Scorer
Data gốchttps://drive.google.com/file/d/1YS12Kk1akqdGGs2gu09Y7AZzG35_Z1rs/view?usp=drive_link
CSV Reader
Decision Tree Learner
mean
Missing Value
lọc các cột
Column Filter
tách bp
String Splitter (Regex)
Column Filter
unknown
Missing Value

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Dang
Created at: 2025-10-17
On NodePit since: 2025-11-07
Last update: 2025-11-07
Created with KNIME version: v5.8.0

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