Comparisons among regression learning techniques results for model precision and accuracy.
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https://figshare.com/articles/dataset/_Comparisons_among_regression_learning_techniques_results_for_model_precision_and_accuracy_/549360
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All values of R presented as negative values are from [33] as such a negative R model would not yield useful MSE values.
1) MSE, labeled as RMSE.
2) accuracy was defined as “100 minus the average percentage difference between predicted and observed knockdown activities”.
3) a dataset of 702 siRNAs was used, not the 2431 dataset considered by the remainder of the table.
创建时间：
2009-10-22
