Forecast accuracy by outcome type, identified expertise, and rank.

NIAID Data Ecosystem2026-03-10 收录

数据链接：

https://figshare.com/articles/dataset/Forecast_accuracy_by_outcome_type_identified_expertise_and_rank_/5156092 数据链接链接失效反馈

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资源简介：

Forecast accuracy by outcome type, identified expertise, and rank.

创建时间：

2017-06-30

Modelling methods and cross-validation variants in QSAR: a multi-level analysis $

模型验证

预测性能

Prediction performance often depends on the cross- and test validation protocols applied. Several combinations of different cross-validation variants and model-building techniques were used to reveal

DataCite Commons2023-03-24 更新680

yaswanthchittepu/ultrafeedback-binarized-pop-margin-data-full

机器学习

预测评估

该数据集包含多个字段，包括prompt（提示）、chosen（选择）、rejected（拒绝）、margin_ground（基础差异）、chosen_score_pred（选择得分预测）、rejected_score_pred（拒绝得分预测）和margin_pred（预测差异）。数据集分为训练集和测试集，训练集包含61687个样本，测试集包含1985个样本。数据集的下载大小为108471205字节

Hugging Face2024-07-07 更新60

Inconsistent Survey Histograms and Point Forecasts Revisited - Michael P Clements

宏观经济预测

预测评估

The data and code are used to investigate the consistency between macro histogram and point forecasts. The "Read_Me Replication File .... explains the data and code. The associated journal article exp

Mendeley Data30

Proper Scoring Rules for Evaluating Density Forecasts with Asymmetric Loss Functions

预测评估

宏观经济

This article proposes a novel asymmetric continuous probabilistic score (ACPS) for evaluating and comparing density forecasts. It generalizes the proposed score and defines a weighted version, which e

DataCite Commons2022-03-11 更新60

Summary of the best predictive performances achieved for each age group, as measured by Youden’s J index.

年龄分层模型评估

预测性能

Also shown are the methods, specificities, and block sensitivities associated the best J indexes for each age group.

NIAID Data Ecosystem40