dt classifier with 50 selected genes in chi-square test method Search Results


dt classifier with 50 selected genes in chi-square test method  (CH Instruments)
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CH Instruments dt classifier with 50 selected genes in chi-square test method
Performance analysis of classifiers in terms of classification accuracies (%) with Grasshopper optimization for different gene selection techniques using 50–200 selected genes.
Dt Classifier With 50 Selected Genes In Chi Square Test Method, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Performance analysis of classifiers in terms of classification accuracies (%) with Grasshopper optimization for different gene selection techniques using 50–200 selected genes.

Journal: Journal of Healthcare Engineering

Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques

doi: 10.1155/2021/6680424

Figure Lengend Snippet: Performance analysis of classifiers in terms of classification accuracies (%) with Grasshopper optimization for different gene selection techniques using 50–200 selected genes.

Article Snippet: From , it is identified that DT classifier with 50 selected genes in Chi-square test method reached higher accuracy of 98.56%.

Techniques: Selection

Performance analysis of classifiers in terms of classification accuracies (%) with Moth flame optimization for different gene selection techniques using 50–200 selected genes.

Journal: Journal of Healthcare Engineering

Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques

doi: 10.1155/2021/6680424

Figure Lengend Snippet: Performance analysis of classifiers in terms of classification accuracies (%) with Moth flame optimization for different gene selection techniques using 50–200 selected genes.

Article Snippet: From , it is identified that DT classifier with 50 selected genes in Chi-square test method reached higher accuracy of 98.56%.

Techniques: Selection

Performance analysis of classifiers in terms of classification accuracies (%) with Bacterial foraging optimization for different gene selection techniques using 50–200 selected genes.

Journal: Journal of Healthcare Engineering

Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques

doi: 10.1155/2021/6680424

Figure Lengend Snippet: Performance analysis of classifiers in terms of classification accuracies (%) with Bacterial foraging optimization for different gene selection techniques using 50–200 selected genes.

Article Snippet: From , it is identified that DT classifier with 50 selected genes in Chi-square test method reached higher accuracy of 98.56%.

Techniques: Selection

Performance analysis of classifiers in terms of classification accuracies (%) with Krill Herd optimization for different gene selection techniques using 50–200 selected genes.

Journal: Journal of Healthcare Engineering

Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques

doi: 10.1155/2021/6680424

Figure Lengend Snippet: Performance analysis of classifiers in terms of classification accuracies (%) with Krill Herd optimization for different gene selection techniques using 50–200 selected genes.

Article Snippet: From , it is identified that DT classifier with 50 selected genes in Chi-square test method reached higher accuracy of 98.56%.

Techniques: Selection

Performance analysis of classifiers in terms of classification accuracies (%) with Artificial fish swarm optimization for different gene selection techniques using 50–200 selected genes.

Journal: Journal of Healthcare Engineering

Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques

doi: 10.1155/2021/6680424

Figure Lengend Snippet: Performance analysis of classifiers in terms of classification accuracies (%) with Artificial fish swarm optimization for different gene selection techniques using 50–200 selected genes.

Article Snippet: From , it is identified that DT classifier with 50 selected genes in Chi-square test method reached higher accuracy of 98.56%.

Techniques: Selection

Performance analysis of classifiers in terms of PI (%) with Grasshopper optimization for different gene selection techniques using 50–200 selected genes.

Journal: Journal of Healthcare Engineering

Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques

doi: 10.1155/2021/6680424

Figure Lengend Snippet: Performance analysis of classifiers in terms of PI (%) with Grasshopper optimization for different gene selection techniques using 50–200 selected genes.

Article Snippet: From , it is identified that DT classifier with 50 selected genes in Chi-square test method reached higher accuracy of 98.56%.

Techniques: Selection

Performance analysis of classifiers in terms of PI (%) with Moth flame optimization for different gene selection techniques using 50–200 selected genes.

Journal: Journal of Healthcare Engineering

Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques

doi: 10.1155/2021/6680424

Figure Lengend Snippet: Performance analysis of classifiers in terms of PI (%) with Moth flame optimization for different gene selection techniques using 50–200 selected genes.

Article Snippet: From , it is identified that DT classifier with 50 selected genes in Chi-square test method reached higher accuracy of 98.56%.

Techniques: Selection

Performance analysis of classifiers in terms of PI (%) with Bacterial foraging optimization for different gene selection techniques using 50–200 selected genes.

Journal: Journal of Healthcare Engineering

Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques

doi: 10.1155/2021/6680424

Figure Lengend Snippet: Performance analysis of classifiers in terms of PI (%) with Bacterial foraging optimization for different gene selection techniques using 50–200 selected genes.

Article Snippet: From , it is identified that DT classifier with 50 selected genes in Chi-square test method reached higher accuracy of 98.56%.

Techniques: Selection

Performance analysis of classifiers in terms of PI (%) with Krill Herd optimization for different gene selection techniques using 50–200 selected genes.

Journal: Journal of Healthcare Engineering

Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques

doi: 10.1155/2021/6680424

Figure Lengend Snippet: Performance analysis of classifiers in terms of PI (%) with Krill Herd optimization for different gene selection techniques using 50–200 selected genes.

Article Snippet: From , it is identified that DT classifier with 50 selected genes in Chi-square test method reached higher accuracy of 98.56%.

Techniques: Selection

Performance analysis of classifiers in terms of PI (%) with Artificial fish swarm optimization for different gene selection techniques using 50–200 selected genes.

Journal: Journal of Healthcare Engineering

Article Title: A Holistic Performance Comparison for Lung Cancer Classification Using Swarm Intelligence Techniques

doi: 10.1155/2021/6680424

Figure Lengend Snippet: Performance analysis of classifiers in terms of PI (%) with Artificial fish swarm optimization for different gene selection techniques using 50–200 selected genes.

Article Snippet: From , it is identified that DT classifier with 50 selected genes in Chi-square test method reached higher accuracy of 98.56%.

Techniques: Selection