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Showing 1 to 3 of 3 for “"Decision trees Algorithm"”.

  1. Contributions to evaluation of machine learning models. Applicability domain of classification models

    … of machine learning models depends on algorithms and the data. Moreover, learning algorithms create a model of reality through learning and testing with data processes, and their performance shows an agreement degree of their assumed model with reality. ML algorithms have been …

    bradford Repository record for Contributions to evaluation of machine learning models. Applicability domain of classification models (opens in a new tab)

  2. Contributions to evaluation of machine learning models. Applicability domain of classification models

    … of machine learning models depends on algorithms and the data. Moreover, learning algorithms create a model of reality through learning and testing with data processes, and their performance shows an agreement degree of their assumed model with reality. ML algorithms have been …

    bradford Repository record for Contributions to evaluation of machine learning models. Applicability domain of classification models (opens in a new tab)

  3. A PREDICTIVE MODEL FOR DIABETES USING MACHINE LEARNING TECHNIQUES (A CASE STUDYOF SOME SELECTED HOSPITALS IN KADUNA METROPOLIS)

    … using some selected supervised learning algorithms like Decision tree algorithm, K- Nearest Neighbour algorithm and Artificial Neural Networks on a dataset gotten from 44 Army Reference Hospital and Yusuf Danstoho Memorial Hospital Kaduna which constitutes of nine (9) attributes that was …

    kennesaw Repository record for A PREDICTIVE MODEL FOR DIABETES USING MACHINE LEARNING TECHNIQUES (A CASE STUDYOF SOME SELECTED HOSPITALS IN KADUNA METROPOLIS) (opens in a new tab)