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Predicting the Results of Evaluation Procedures of Academics: Additional Materials

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Figshare2019-02-26 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Predicting_the_Results_of_Evaluation_Procedures_of_Academics_Additional_Materials/6814550
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Additional materials containing the results of the analyses described in the paper entitled "Predicting the Results of Evaluation Procedures of Academics".In the tables, Precision (P), Recall (R) and F-Measure (FM) values are reported for each Recruitment Field (RF) and Area. The results are ordered in descending order with respect to the F-measure values. Non-bibliometric disciplines have a gray background.The data are organized as follows:-Table 1: contains the performance of the SVM algorithm for academic level I (Full Professor) using 291 predictors. Analysis of the 184 recruitment fields;-Table 2: contains the performance of the SVM algorithm for academic level II (Associate Professor) using 291 predictors. Analysis of the 184 recruitment fields;-Table 3: contains the performance of the SVM algorithm for academic level I (full Professor) and II (Associate Professor). Analysis of the scientific areas;-Table 4: contains the performance of the SVM algorithm for academic level I (Full Professor) using the top 15 predictors. Analysis of the 184 recruitment fields;-Table 5: contains the performance of the SVM algorithm for academic level II (Associate Professor) using the top 15 predictors. Analysis of the 184 recruitment fields.
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2019-02-26
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