Table 3 Accuracy of the model Article ID... | Emerald Publishing

Table 3

Accuracy of the model

Article ID	Tests conducted	Implementation	Accuracy of the model	Reliability measure
1	Training dataset: 70% of data Testing dataset: 30% of data	C4.5 algorithm through WEKA’s J48	78.84% were correctly classified and 21.16% were incorrectly classified	Kappa Statistics: 0.7839 Mean Absolute Error: 0.0058 (means the magnitude of errors is almost insignificant)
4	TF-IDF with cosine similarity as the benchmark	Precision at k = {1,3,5,10} Skill embeddings and WMB, with k = 1	95% Generated results vary based on methods and k-values
5	Comparison of the system’s efficiency with and without pre-processing the JDs with respect to time taken to generate	Proposed hybrid RS algorithm giving significance to the processing of JDs The relevance of unified database having the same schema	Processing JDs increased the chances of the user of getting matched by 103.44% Increased in match score for raw and processed JDs

Article ID	Tests conducted	Implementation	Accuracy of the model	Reliability measure
1	Training dataset: 70% of dataTesting dataset: 30% of data	C4.5 algorithm through WEKA’s J48	78.84% were correctly classified and 21.16% were incorrectly classified	Kappa Statistics: 0.7839Mean Absolute Error: 0.0058 (means the magnitude of errors is almost insignificant)
4	TF-IDF with cosine similarity as the benchmark	Precision at k = {1,3,5,10}Skill embeddings and WMB, with k = 1	95%Generated results vary based on methods and k-values
5	Comparison of the system’s efficiency with and without pre-processing the JDs with respect to time taken to generate	Proposed hybrid RS algorithm giving significance to the processing of JDsThe relevance of unified database having the same schema	Processing JDs increased the chances of the user of getting matched by 103.44%Increased in match score for raw and processed JDs

Source(s): Tables by author