classification-helper
CommunityAutomate classification model training.
Data & Analytics#data science#machine learning#evaluation#model training#classification#scikit-learn
Authordkyazzentwatwa
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of training and evaluating classification models, removing the need for manual model selection and hyperparameter tuning.
Core Features & Use Cases
- Automated Model Selection: Compares multiple classifiers (Random Forest, Gradient Boosting, Logistic Regression, SVM).
- Hyperparameter Tuning: Performs grid or random search for optimal parameters.
- Comprehensive Evaluation: Provides accuracy, precision, recall, F1-score, ROC-AUC, and cross-validation scores.
- Use Case: Quickly train a model to predict customer churn based on historical data, getting immediate performance metrics and insights into important features.
Quick Start
Train a Random Forest classifier on your data using the classification-helper skill.
Dependency Matrix
Required Modules
scikit-learnpandasnumpymatplotlibseaborn
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: classification-helper Download link: https://github.com/dkyazzentwatwa/chatgpt-skills/archive/main.zip#classification-helper Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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