2026-10-14T02:37:11Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33774604 2026-09-29T09:23:10Z category_43776 portal_791 item_type_3 month_year_09_2026

<b>Support vectors and weight coefficients for the one-class SVM model based on tractor accident-case variables</b> Kazuma OHNEDA (24914678) Marisa OGINO (24914748) Yuya AOYAGI (22387997) Masami MATSUI (24914767) Agriculture and Food Sciences support vectors weight coefficients SVM model tractor accident <p dir="ltr"><b>1.</b><b> </b><b>Support vectors and weight coefficients for the one-class SVM model based on tractor accident-case variables</b></p><p dir="ltr">This supplementary table presents the standardized feature components of the support vectors selected by the one-class SVM model and their corresponding weight coefficients <i>α</i>_<em>i</em>.The support-vector components are denoted as <i>Z</i> and are based on nine explanatory variables representing operator, meteorological, temporal, environmental, and machinery-related conditions in tractor accident cases. The variables correspond to <i>x</i>_age: operator age, <i>x</i>_prec: precipitation, <i>x</i>_{T_prec}: time difference between precipitation and accident, <i>x</i>_{T_sun}: time difference between sunset and accident, <i>x</i>_temp: temperature, <i>x</i>_humid: humidity, <i>x</i>_wind: wind speed, <i>x</i>_twilight: level of twilight, and <i>x</i>_danger: danger level of tractor. The weight coefficient <i>α</i>_<em>i</em> corresponds to each support vector used in the one-class SVM decision function shown below.</p><table><tr><td><p dir="ltr">(EAEF190301_eq_S1.png)</p><p dir="ltr">(EAEF190301S.csv)</p></td></tr></table><p><br></p> 2026-09-29T09:23:10Z Dataset Dataset 10.60215/data.eaef.33774604.v1 https://figshare.com/articles/dataset/_b_Support_vectors_and_weight_coefficients_for_the_one-class_SVM_model_based_on_tractor_accident-case_variables_b_/33774604 CC BY 4.0