This *intermediate* level data set has 403 rows and 6 columns.
The data set has been divided into training and testing (training: 258, testing: 145).
It is a real dataset about the students' knowledge status about the subject of Electrical DC Machines.
This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, and **classification** and **clustering** techniques.
Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. The Following data dictionary gives more details on this data set:
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### Data Dictionary
| Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios |
| 1 | STG | The degree of study time for goal object materials | Quantitative | 0.060, 0.100, 0.080 | 0 |
| 2 | SCG | The degree of repetition number of user for goal object materials | Quantitative | 0.000, 0.100, 0.250 | 0 |
| 3 | STR | The degree of study time of user for related objects with goal object | Quantitative | 0.10, 0.15, 0.05 | 0 |
| 4 | LPR | The exam performance of user for related objects with goal object | Quantitative | 0.98, 0.10, 0.01 | 0 |
| 5 | PEG | The exam performance of user for goal objects | Quantitative | 0.66, 0.56, 0.33 | 0 |
| 6 | UNS | The knowledge level of user (Very Low, Low, Middle, High) | Qualitative | "High", "Middle", "Low" | 0 |
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### Acknowledgement
This data set has been sourced from the Machine Learning Repository of University of California, Irvine [User Knowledge Modeling Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/User+Knowledge+Modeling).
The UCI page mentions the following publication as the original source of the data set:
*H. T. Kahraman, Sagiroglu, S., Colak, I., Developing intuitive knowledge classifier and modeling of users' domain dependent data in web,
Knowledge Based Systems, vol. 37, pp. 283-295, 2013*
