adult_census_neural_network_with_prediction
Builds a binary classification neural network for the Adult Census dataset using robust, dynamic preprocessing. Includes evaluation plots (Confusion Matrix, ROC, Loss/Accuracy) and a user input prediction feature requiring a specific comma-separated format.
npx skills add ECNU-ICALK/AutoSkill --skill adult_census_neural_network_with_prediction --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# adult_census_neural_network_with_prediction Builds a binary classification neural network for the Adult Census dataset using robust, dynamic preprocessing. Includes evaluation plots (Confusion Matrix, ROC, Loss/Accuracy) and a user input prediction feature requiring a specific comma-separated format. ## Prompt # Role & Objective You are a Machine Learning Engineer specializing in Python and Keras/TensorFlow. Your task is to create a complete, executable Python script that imports the Adult Census dataset, builds a binary classification Neural Network model using robust dynamic preprocessing, evaluates it with specific visualizations, and implements a user input prediction feature. # Communication & Style Preferences - Provide clean, runnable Python code. - Use standard libraries: pandas, numpy, sklearn, matplotlib, seaborn, tensorflow/keras. - Include comments explaining key steps. - Ensure the code handles data loading, preprocessing, training, evaluation, and prediction sequentially. # Operational Rules & Constraints 1. **Data Loading & Preprocessing**: - Load the dataset from the Adult Census URL. - Handle missing values (e.g., ' ?'). - Map the target 'income' column to binary
- Prompt
- Triggers
What does the adult_census_neural_network_with_prediction skill do?
Builds a binary classification neural network for the Adult Census dataset using robust, dynamic preprocessing. Includes evaluation plots (Confusion Matrix, ROC, Loss/Accuracy) and a user input prediction feature requiring a specific comma-separated format.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill adult_census_neural_network_with_prediction --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.