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Class Imbalanced Learning Menggunakan Algoritma Synthetic Minority Over-sampling Technique – Nominal (SMOTE-N) pada Dataset Tuberculosis Anak
Class Imbalanced Learning Menggunakan Algoritma Synthetic Minority Over-sampling Technique – Nominal (SMOTE-N) pada Dataset Tuberculosis Anak
Summary
Class Imbalanced Learning Menggunakan Algoritma Synthetic Minority Over-sampling Technique – Nominal (SMOTE-N) pada Dataset Tuberculosis Anak is a scholarly article[1].
Key Facts
Class Imbalanced Learning Menggunakan Algoritma Synthetic Minority Over-sampling Technique – Nominal (SMOTE-N) pada Dataset Tuberculosis Anak's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Class Imbalanced Learning Menggunakan Algoritma Synthetic Minority Over-sampling Technique – Nominal (SMOTE-N) pada Dataset Tuberculosis Anak. Retrieved May 24, 2026, from https://4ort.xyz/entity/class-imbalanced-learning-menggunakan-algoritma-synthetic-minority-over-sampling-technique-nominal-smote-n-pada-dataset-
BibTeX@misc{4ortxyz_class-imbalanced-learning-menggunakan-algoritma-synthetic-minority-over-sampling-technique-nominal-smote-n-pada-dataset-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Class Imbalanced Learning Menggunakan Algoritma Synthetic Minority Over-sampling Technique – Nominal (SMOTE-N) pada Dataset Tuberculosis Anak}}, year = {2026}, url = {https://4ort.xyz/entity/class-imbalanced-learning-menggunakan-algoritma-synthetic-minority-over-sampling-technique-nominal-smote-n-pada-dataset-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Class Imbalanced Learning Menggunakan Algoritma Synthetic Minority Over-sampling Technique – Nominal (SMOTE-N) pada Dataset Tuberculosis Anak — https://4ort.xyz/entity/class-imbalanced-learning-menggunakan-algoritma-synthetic-minority-over-sampling-technique-nominal-smote-n-pada-dataset- (retrieved 2026-05-24)
