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Classification_​Naive Bayes_​SIB6NF

Workflow ini dibuat dengan tujuan :

Pada dataset Training di cari tahu 5 faktor utama dalam penyebab terjadinya kankerparu-paru menggunakan Node Rank Correlation.

Workflow ini sebagai pemenuhan tugas final project SIB-6 Academy Codeless Data Science NF Academy.

Group-4 Kelompok-2
Ketua : Abdul Malik Dzakwan
Anggota : Robby Maulana I., M. Rijal Jiddan, Fikri Tanjung, Wulandari, Radika Afriyanda.

Classification Model | Algoritma Naive Bayes Deployment Lung Cancer Predictor Lung_Cancer_Training.CSVKorelasi label dengan antar atribut80% Training, 20%TestingDataset LearnerPrediksi datasetEvaluasi AlgoritmaMenyalin Algoritma LearnerAnalisis Missing ValueLung_Deploy.CSVLung_Model.pmmlPrediksi Kangker paru-paruYes = PositiveNo = Negative CSV Reader Rank Correlation Partitioning Naive Bayes Learner Naive BayesPredictor Scorer PMML Writer Statistics View CSV Reader PMML Reader Naive BayesPredictor Rule Engine DasboardVisualization Classification Model | Algoritma Naive Bayes Deployment Lung Cancer Predictor Lung_Cancer_Training.CSVKorelasi label dengan antar atribut80% Training, 20%TestingDataset LearnerPrediksi datasetEvaluasi AlgoritmaMenyalin Algoritma LearnerAnalisis Missing ValueLung_Deploy.CSVLung_Model.pmmlPrediksi Kangker paru-paruYes = PositiveNo = Negative CSV Reader Rank Correlation Partitioning Naive Bayes Learner Naive BayesPredictor Scorer PMML Writer Statistics View CSV Reader PMML Reader Naive BayesPredictor Rule Engine DasboardVisualization

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

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Created by: dariw
Created at: 2024-06-12
On NodePit since: 2024-06-28
Last update: 2024-09-16
Created with KNIME version: v5.2.3

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