CoolFace
14 results

propensity

kokul /bank-marketing-propensity Introduction This project explores several classification techniques as applied to a bank's marketing campaign data. The classification goal is to predict whether the client will subscribe a term deposit (variable y). Source: https://archive.ics.uci.edu/ml/datasets/bank+marketing It's recommended that the viewer read the Jupyter Notebook in NBViewer: https://nbviewer.jupyter.org/github/sgus1318/marketing_propensity/blob/master/Bank_DirectMarketing_Propensity.ipynb… See the full description on the dataset page: https://huggingface.co/datasets/kokul/bank-marketing-propensity.tabular10K<n<100K1 likes121 downloads1y agoHugging Facecamgeodesic /anthropic-propensity-evals-human-written-refined-filtered-lighttext1K<n<10K0 likes115 downloads10mo agoHugging Faceguanine /ccre_propensity0 likes113 downloads3y agoHugging Facehaidang2405 /seqevalbench-exact-propensity-logged-traces SeqEvalBench: Exact-Propensity Logged Traces SeqEvalBench is a finite clean-room benchmark for support-aware sequential off-policy evaluation (OPE). It contains 4,096 paired-seat, two-step episodes, complete proposal queues through STOP, replayable integer state transitions and accounting, and exact rational behavior/target likelihood components for five policies. The main research object is not an estimator leaderboard. It is an auditable logged-feedback system in which one… See the full description on the dataset page: https://huggingface.co/datasets/haidang2405/seqevalbench-exact-propensity-logged-traces.tabularreinforcement-learning100K<n<1M0 likes95 downloads28d agoHugging FaceKyle1668 /anthropic-propensity-evalsThese evaluations are sourced from https://github.com/anthropics/evals/tree/main/advanced-ai-risk text10K<n<100K0 likes86 downloads1y agoHugging Faceai-safety-institute /propensity-inference Propensity Inference: Data Release Data accompanying the paper Propensity Inference: Environmental Contributors to Unsanctioned LLM Behaviour. Code: UKGovernmentBEIS/propensity-inference Contents transcripts/ (~3.5 GB, 628,653 rows) Parquet files extracted from the eval logs for convenient tabular access. Each row corresponds to one eval and contains: the full conversation (messages column, JSON), the binary score, score explanation, model name, and all task… See the full description on the dataset page: https://huggingface.co/datasets/ai-safety-institute/propensity-inference.tabularn<1K1 likes66 downloads5mo agoHugging Face