This is a ShmuggingFace review mock. It is not Hugging Face, Kaggle, or a real dataset release.
😏leadforge-dev · UPDATED 2026-05-24 AGO
LeadForge Lead Scoring v1 — Advanced
Advanced difficulty · 5,000 leads · ~8% conversion rate · LR AUC 0.886 (5-seed median)
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Copy API command
kaggle datasets download -d leadforge-dev/leadforge-lead-scoring-v1-advanced
python - <<'PY'
import pandas as pd
rows = pd.read_csv("data/train.csv")
print(rows.describe(include="all"))
PY
LeadForge Lead Scoring v1 — Advanced5,000 rows
Discussion
What is `snapshot_day = 30` and how does it affect which features are valid at inference time?#1 opened for review by leadforge-dev
1 repliesIs `total_touches_all` a safe feature or a time-window leakage trap?#2 opened for review by leadforge-dev
2 repliesLR and GBM AUCs are very close across tiers — does relational feature engineering help?#3 opened for review by leadforge-dev
3 repliesHow would you set a probability threshold for a team that can only work 50 leads per week?#4 opened for review by leadforge-dev
4 repliesWhat happens to AUC when you evaluate on a chronological hold-out instead of a random split?#5 opened for review by leadforge-dev
5 replies
Mock action locked for review.