69 items found

Tags: 80699 Information Systems not elsewhere classified prediction

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  • dataset

    Detailed information about the Epilesyecosystem dataset (after excluding corr...

    [22] The number of preictal intervals is the same as the number of seizures in the public dataset, while for files in the benchmark dataset labels are not publicly known.
  • dataset

    r37980778c78--f0937580fb5c527cfc9ec7d2f65aa987

    An unambiguous algorithm, added to the study of the applicability domain and appropriate measures of the goodness of fit and robustness, represent the key characteristics that...
  • dataset

    dedup_wf_001--82eebfb1553a590380911a8e5b44b6b3

    Please see readme and description of dataset 1 in publication.
  • dataset

    Combined evaluation results on MFC data (in %).

    Combined evaluation results on MFC data (in %).
  • dataset

    Fixed effects (typical values) of the parameters of the different models.

    Par. = parameter. ω = standard deviation of the random effects. R.S.E. = relative standard errors of the estimates. σ = residual error model parameters. *The reduced Gompertz...
  • dataset

    r37980778c78--a92492eeb5a2f1e64dfe0d6faee8f42c

    Three subgroups are selected from the database–all patients, males only and females only. BQ: Berlin questionnaire; ESS: Epworth sleepiness scale; BMI: Body mass index; *: the...
  • dataset

    r37980778c78--d15033b59f1040a55c491873e055df26

    Case prediction performance, un-adjusted assessment.
  • dataset

    r37980778c78--7c9f46618fe4d7815f89710440972bb0

    The performance evaluation of the variation of k-NN algorithms and logistic regression.
  • dataset

    Confusion matrix illustrating the four types of decision outcomes.

    Type I and II errors are misclassifications. In Type I, resources are wasted acting on an event that did not occur; in Type II, the decision-maker failed to act on an event that...
  • dataset

    Justice-vote performance (three-class), un-adjusted assessment.

    Justice-vote performance (three-class), un-adjusted assessment.
  • dataset

    r37980778c78--a0c8014673dd3a07e595b4fc167c20b0

    Mean classification accuracies obtained by combining all data features together, after dimensionality reduction based on Principal Component Analysis (PCA Based combination),...
  • dataset

    dedup_wf_001--ecbefba03ed53b8ed23a7375c34d2b4a

    Please see readme and description of dataset 3 in publication.
  • dataset

    Example sequence of successful bi-directional mobile communication.

    Example sequence of successful bi-directional mobile communication.
  • dataset

    r37980778c78--d995853f5ab14f062d45f35badbc91b7

    Individual evaluation results of MCP and MCD on MFC data (%).
  • dataset

    Sensitivity to findings for the likelihood BBN.

    Risk factors with higher mutual information provide more information to the risk outcome.
  • dataset

    MSE values of the training and testing of the 2-input dataset for the TCAD-la...

    MSE values of the training and testing of the 2-input dataset for the TCAD-labeled ASMT algorithm.
  • dataset

    r37980778c78--2bfeeb150f8c0c0d99d40ec1b90f71ee

    Outcome distribution (1816-2015).
  • dataset

    Comparative Studies on Some Metrics for External Validation of QSPR Models

    Quantitative structure–property relationship (QSPR) models used for prediction of property of untested chemicals can be utilized for prioritization plan of synthesis and...
  • dataset

    MSE values of the training and testing of the 5-input dataset for the TCAD-la...

    MSE values of the training and testing of the 5-input dataset for the TCAD-labeled ASMT algorithm.