A comparison of MCC and CEN error measures in multi-class prediction
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Neural representation of calling songs and their behavioral relevance in the grasshopper auditory system.Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors.Heterogeneous Ensemble Combination Search Using Genetic Algorithm for Class Imbalanced Data Classification.DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marksSensitivity and specificity of substrate mapping: an in silico framework for the evaluation of electroanatomical substrate mapping strategies.A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network.In vivo Raman spectroscopy for detection of oral neoplasia: a pilot clinical study.HiTSelect: a comprehensive tool for high-complexity-pooled screen analysisClassifying ten types of major cancers based on reverse phase protein array profiles.Comparison of High-Level Microarray Analysis Methods in the Context of Result Consistency.Gene expression profiling gut microbiota in different races of humans.Voxel-Based Neighborhood for Spatial Shape Pattern Classification of Lidar Point Clouds with Supervised Learning.mQC: A Heuristic Quality-Control Metric for High-Throughput Drug Combination Screening.Chemoinformatics for medicinal chemistry: in silico model to enable the discovery of potent and safer anti-cocci agents.Self-harm and overcrowding among prisoners in Geneva, Switzerland.Prediction of N-linked glycosylation sites using position relative features and statistical moments.100% classification accuracy considered harmful: the normalized information transfer factor explains the accuracy paradox.The influence of alignment-free sequence representations on the semi-supervised classification of class C G protein-coupled receptors: semi-supervised classification of class C GPCRs.Classifiers and their Metrics Quantified.Feature reduction and multi-classification of different assistive devices according to the gait pattern.Phylogenetic convolutional neural networks in metagenomics.A study on volatile organic compounds emitted by in-vitro lung cancer cultured cells using gas sensor array and SPME-GCMS.
P2860
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P2860
A comparison of MCC and CEN error measures in multi-class prediction
description
2012 nî lūn-bûn
@nan
2012 թուականին հրատարակուած գիտական յօդուած
@hyw
2012 թվականին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
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name
A comparison of MCC and CEN error measures in multi-class prediction
@ast
A comparison of MCC and CEN error measures in multi-class prediction
@en
A comparison of MCC and CEN error measures in multi-class prediction
@nl
type
label
A comparison of MCC and CEN error measures in multi-class prediction
@ast
A comparison of MCC and CEN error measures in multi-class prediction
@en
A comparison of MCC and CEN error measures in multi-class prediction
@nl
prefLabel
A comparison of MCC and CEN error measures in multi-class prediction
@ast
A comparison of MCC and CEN error measures in multi-class prediction
@en
A comparison of MCC and CEN error measures in multi-class prediction
@nl
P2860
P50
P1433
P1476
A comparison of MCC and CEN error measures in multi-class prediction
@en
P2860
P304
P356
10.1371/JOURNAL.PONE.0041882
P407
P577
2012-01-01T00:00:00Z