Mobile Phone Price Classification Data for Predictive Modeling

Mobile phone data from Kaggle, curated by the TabArena team for a study on independent and identically distributed tabular data. The dataset is intended for classification tasks and originates from a 2018 Kaggle competition. The target variable values were renamed by the curators to be more descriptive.

Use Cases

• Train a price classification model based on mobile phone features mentioned in the description
• Benchmark predictive algorithms for independent and identically distributed data based on the dataset's stated focus
• Evaluate model performance on a curated tabular classification task based on the study's purpose

Strengths

• Dataset has a clear, stated purpose for evaluating predictive ML models on IID tabular data
• Target variable values were renamed for clarity by the curators

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count, sample data, and file formats are unknown, which may limit suitability assessment

Provenance

Source

Kaggle User iabhishekofficial, 'Mobile Price Classification' (2018)

Collection Method

Curated from the original Kaggle train data with labels.

Time Range

Dataset Year: 2018

Freshness

Dataset Year is 2018; last update date is unknown.

Geography

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