Data Mining Tool

This tool enables rapid prototyping of predictive models using Weka-style algorithms on labeled datasets. It abstracts dataset loading, model training, and evaluation into a configurable workflow, enabling analysts and educators to experiment with algorithms and preprocessing without coding.
Conceptually, the workflow splits data, applies preprocessing, builds models, and reports metrics such as accuracy, precision, recall, F1, and ROC-AUC. It supports cross-validation and per-fold diagnostics to help compare generalization across parameter choices.
Unique value lies in repeatable evaluation, explicit handling of common data issues (missing values, non-numeric features), and exportable artifacts (models, reports) suitable for teaching, research, or production prep.