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Data Cleaning and Variable Screening

porgithub·github· v1.0.0 · atualizado em 2026-04-10
85
Score

Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.

credit-riskdata-cleaningvariable-selectiondata-preprocessingfeature-engineeringrisk-modelingdata-analysis
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Documento do Skill

SKILL.mddatanalysis-credit-risk/workflow
1. Load and format raw credit risk data.
2. Analyze sample distribution across organizations.
3. Separate out-of-sample data.
4. Filter abnormal months based on sample counts.
5. Calculate missing rates for each feature.
6. Remove features with high missing rates.
7. Remove features with low Information Value (IV).
8. Remove features with high Population Stability Index (PSI).
9. Perform Null Importance denoising.
10. Remove highly correlated features.
11. Generate a comprehensive data cleaning report.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

Data Cleaning and Variable Screening
datanalysis-credit-risk
Fases Cognitivas6
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.EVALUATE
5.ACT
6.REFLECT
Triggers10
clean credit risk dataperform variable screening for credit datapreprocess data for pre-loan modelinganalyze missing values in credit dataremove high correlation features in credit datagenerate a credit data cleaning reportfilter abnormal periods in credit datacalculate missing rates for credit datadrop low IV features from credit dataremove high PSI features from credit data

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança49%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download datanalysis-credit-risk
$ synaptic skills detail datanalysis-credit-risk
$ synaptic skills live datanalysis-credit-risk

Links

GitHub Repository