<--- Back to Details
First PageDocument Content
Cross-validation / Model selection / Data mining / K-nearest neighbor algorithm / Receiver operating characteristic / Linear classifier / Logistic regression / Training set / Neuroblastoma / Statistics / Machine learning / Statistical classification
Date: 2010-07-30 10:26:06
Cross-validation
Model selection
Data mining
K-nearest neighbor algorithm
Receiver operating characteristic
Linear classifier
Logistic regression
Training set
Neuroblastoma
Statistics
Machine learning
Statistical classification

Add to Reading List

Source URL: www.nature.com

Download Document from Source Website

File Size: 1,23 MB

Share Document on Facebook

Similar Documents

Cross-Validation Mohammad Emtiyaz Khan EPFL Oct 6, 2015 ©Mohammad Emtiyaz Khan 2015

DocID: 1uDoQ - View Document

Journal of Machine Learning Research–1105 Submitted 05/03; Revised 9/03; Published 9/04 No Unbiased Estimator of the Variance of K-Fold Cross-Validation Yoshua Bengio

DocID: 1uvEs - View Document

Pattern Classification And Machine Learning - EPFL - Fall 2015 Emtiyaz Khan, Timur Bagautdinov, Carlos Becker, Ilija Bogunovic & Ksenia Konyushkova 4. Cross-Validation and Bias-Variance decomposition 4.1

DocID: 1u6VI - View Document

Skyllz Distributed Platform (SDP) is an open source, blockchain-based and cross-platform skills-validation protocol proposed by Workkola. It aims to build a universal and evolving Human Skills Ecosystem that by

DocID: 1tF0G - View Document

CCPA Precipitation Analysis: Data Set, Cross  Validation and Evaluation Dingchen Hou1, Yan Luo1 ,Yuejian Zhu1, Pingping Xie2, and Ying Lin1 Environmental Modeling Center/NCEP/NWS/NOAA 2 Climate Predi

DocID: 1tvlm - View Document