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Classification_​Using_​Logistic_​Regression_​and_​SVM _​SIB6NF

Indonesia

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The workflow explains classification using 2 logistic regression algorithms and SVM, a comparison to determine which algorithm is better for predicting death from heart failure.

This Wokrflow fulfills the final assignment of the SIB6 ACDS (NF Academy) project

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Workflow menjelaskan tentang klasifikasi menggunakan 2 algoritma logistic regression dan SVM, perbandingan sebagai penentu algoritma mana yang lebih baik untuk memprediksi kematian akibat gagal jantung.

Wokrflow ini sebagai pemenuhan tugas final project SIB6 ACDS (NF Academy)

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Dataset : heart_failure_clinical_records_dataset.csv

Group 4 Kelompok 7
Ketua Kelompok : Yoga Bagas Budhiman
Anggota Kelompok : Budi Aqsha Nawawi, Fathurahman Alhakim, Muhammad Andika Al Sinatrya, Muhammad Yusuf Saputra

URL: Link Dataset https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data

Data Preparation Training data Read Data Prediksi & Evaluate Visualisasi Membaca dataheart_failure_clinical_records_dataset.csvMengubahnama kolom80% training20% testingmelatih model SVMmemprediksikelas data barumengevaluasikinerja modelSVMmelatih model LogisticRegressionmemprediksiprobabilitasdata baruEvaluasikinerja modellogistic regressionNormalisasi data menggunakan z score 0 mean 1 standar deviasiMengubah data0 : Hidup1 : MeninggalROCLogistic RegressionROCSVM CSV Reader Column Renamer Partitioning SVM Learner SVM Predictor Scorer LogisticRegression Learner Logistic RegressionPredictor Scorer Normalizer (PMML) Rule Engine ROC Curve ROC Curve Data Preparation Training data Read Data Prediksi & Evaluate Visualisasi Membaca dataheart_failure_clinical_records_dataset.csvMengubahnama kolom80% training20% testingmelatih model SVMmemprediksikelas data barumengevaluasikinerja modelSVMmelatih model LogisticRegressionmemprediksiprobabilitasdata baruEvaluasikinerja modellogistic regressionNormalisasi data menggunakan z score 0 mean 1 standar deviasiMengubah data0 : Hidup1 : MeninggalROCLogistic RegressionROCSVM CSV Reader Column Renamer Partitioning SVM Learner SVM Predictor Scorer LogisticRegression Learner Logistic RegressionPredictor Scorer Normalizer (PMML) Rule Engine ROC Curve ROC Curve

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