Model: AyushMann29/Project_Nova
Author: AyushMann29
Pipeline: tabular-classification
Tags: joblib, tabular-classification, credit-scoring, fairness, region:us
Card metadata: tags: tabular-classification, credit-scoring, fairness
task: type: tabular-classification
name: Creditworthiness Prediction
metrics: name: Accuracy
type: accuracy
value: <value from evaluate_model>
note: The proportion of correctly classified instances., name: Precision
type: precision
value: <value from evaluate_model>
note: The proportion of positive identifications that were actually correct., name: Recall
type: recall
value: <value from evaluate_model>
note: The proportion of actual positive cases that were identified correctly., name: F1 Score
type: f1
value: <value from evaluate_model>
note: The harmonic mean of Precision and Recall., name: Selection Rate
type: selection_rate
value: <fairlearn value>
note: The proportion of predictions that are positive, for each group., name: Equal Opportunity
type: true_positive_rate
value: <fairlearn value>
note: The proportion of actual positive outcomes that are correctly identified for each group.
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Created: 2025-09-11 08:59:55