Features (mean and variability) with highest weight value based on different subsets, the best performing variability, the average performance results of the SVM classification models from leave-one-subject-out cross validation (reported as mean ± standard deviation), and the number of strides per subset.
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下载链接：
https://figshare.com/articles/dataset/Features_mean_and_variability_with_highest_weight_value_based_on_different_subsets_the_best_performing_variability_the_average_performance_results_of_the_SVM_classification_models_from_leave-one-subject-out_cross_validation_reported_as_mean/22635899
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资源简介：
Features (mean and variability) with highest weight value based on different subsets, the best performing variability, the average performance results of the SVM classification models from leave-one-subject-out cross validation (reported as mean ± standard deviation), and the number of strides per subset.
创建时间：
2023-04-14
