Model: marco-vgn/nfl-4th-down-win-pct-recommender
Author: marco-vgn
Pipeline: tabular-regression
Library: keras
Tags: keras, football, sports-analytics, decision-support, win-probability, tabular, tabular-regression, en, license:mit, model-index, region:us
Card metadata: language: en
license: mit
library_name: keras
pipeline_tag: tabular-regression
tags: football, sports-analytics, decision-support, win-probability, tabular, keras
model-index: name: NFL 4th-Down Decision MLP
results: task: type: tabular-regression
name: ΔWP regression (go / field goal / punt)
dataset: name: NFL play-by-play (2016–2024)
type: custom
split: test (2023–2024)
metrics: name: Policy agreement (top-ΔWP)
type: policy-agreement
value: 0.794
verified: no, name: Mean regret ΔWP (overall)
type: mean-regret
value: 0.0023
verified: no, name: Policy agreement (late & close)
type: policy-agreement
value: 0.744
verified: no, name: Mean regret ΔWP (late & close)
type: mean-regret
value: 0.0099
verified: no
Likes: 0 | All-time downloads: 45
Created: 2025-08-23 02:42:41