11 items found

Tags: Random forest

Filter Results
  • dataset

    Additional file 2 of A LASSO-derived risk model for long-term mortality in Ch...

    Additional file 2: The risk formula of our model and the demo of use it.
  • dataset

    Additional file 3: of The parameter sensitivity of random forests

    Pairwise t-test results for sampsize intra-parameter groups for the low p/n data. All p-values were adjusted using a Benjamini-Hochberg procedure. There were no groups that...
  • dataset

    Additional file 4: of The parameter sensitivity of random forests

    Pairwise t-test results for n tree intra-parameter groups for the low p/n data. All p-values were adjusted using a Benjamini-Hochberg procedure. The only n tree value found to...
  • dataset

    dedup_wf_001--1909d8241735ecfa0f354aa85bec1496

    Random forest usage in papers. A summary table of papers referencing random forest over a seven month period (January 1 to November 4) from BMC Bioinformatics. Information was...
  • dataset

    Characteristics of the study population.

    SD = standard deviation; BMI = body mass index; BFP = Body fat percentage measured with bioelectrical impedance [24]; WHR = waist-hip ratio; HGS = handgrip strength, the highest...
  • dataset

    Additional file 4: of Predicting drug target interactions using meta-path-bas...

    (metapath_commuting_matrix.zip): it contains the calculated commuting matrix for internal and external validating. The internal test set was used by SLAP in the original...
  • dataset

    MOESM3 of A machine learning-based service for estimating quality of genomes ...

    Additional file 3 EvalCon training multiplicity matrix. This is the multiplicity matrix used to train the machine learning predictors for EvalCon. Each line of this file...
  • dataset

    Additional file 1: of Integration of multi-omics data for prediction of pheno...

    List of the data sets used in this article. (XLSX 14739 kb)
  • dataset

    Additional file 6: of The parameter sensitivity of random forests

    Pairwise t-test results for m try intra-parameter groups for the low p/n data. All p-values were adjusted using a Benjamini-Hochberg procedure. Each sampsize group was found to...
  • dataset

    MOESM4 of A machine learning-based service for estimating quality of genomes ...

    Additional file 4 EvalCon reliable role names. This file contains (column index, role name) tuples for the converged matrix. All indices start at zero. This is the subset of...
  • dataset

    MOESM6 of A machine learning-based service for estimating quality of genomes ...

    Additional file 6 PATRIC quality report. This is a report of EvalCon and EvalG scores for all public genomes in PATRIC. Columns, in order, are: PATRIC genome ID, genome name,...