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Categorization norms for classifying EPR scores

Categorization norms for classifying EPR scores

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Figure 2. Formation and selection process of machine learning models
Figure 3. Interface of Counseling Session
Figure 4. Counseling Prediction Result Interface
Categorization norms for classifying EPR scores
+2 Dataset Overview
Machine Learning-Based Counseling to Predict Psychological Readiness for Aspiring Entrepreneurs
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  • Dec 2024
Machine learning has become an exciting topic in psychology-related research, one of which is counseling psychological readiness for entrepreneurship. An intelligent application developed using a machine learning model to assist the counseling process in measuring a person's psychological readiness for entrepreneurship. This application was generat...
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... obtaining the overall score, the final step involves classifying the respondent into one of four psychological readiness categories. These categories are determined using a set of classification norms [15] that relate the overall score to the population's mean (í µí¼‡) and standard deviation (í µí¼Ž), as shown in Table 2. Where X is the parameter score, µ is the average value, and σ is the deviation distribution value. ...