Logistic regression model fit statistics for probability of encountering a fish within 48 hours of spawning, with percent deviance explained (i.e. percent variability explained by inclusion of additional variable); cross-validation results for Area Under the Curve (AUC), False Positive Rate (FPR) and False Negative Rate (FNR); and percentage of 500 runs where random variable inclusion in model outperformed model-selected bathymetric variable (‘Random test’).
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https://figshare.com/articles/dataset/Logistic_regression_model_fit_statistics_for_probability_of_encountering_a_fish_within_48_hours_of_spawning_with_percent_deviance_explained_i_e_percent_variability_explained_by_inclusion_of_additional_variable_cross-validation_results_for_Area_Under_the_C/4727611
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资源简介:
See Methods for additional details.
创建时间:
2017-03-06



