Synthetic Data on Parental Factors and Student Anxiety

Synthetic data analyzing the relationship between parental factors and student anxiety levels. The dataset is designed for classification tasks. Its creator, size, and creation date are unknown.

Use Cases

• Classify student anxiety levels based on synthetic parental factor features.
• Analyze correlations between specific parental factor variables and anxiety labels.
• Train beginner-level classification models using the provided mental health labels.

Strengths

• Synthetic nature ensures privacy compliance by not using real personal data.
• Designed for beginner-friendly classification tasks.

Limitations

• Synthetic data may not capture real-world complexity or correlations accurately.
• Unknown sample size prevents assessment of statistical power.

Provenance

Source

Kaggle

Collection Method

Synthetically generated.