| P50 | author | Knut Baumann | Q52083694 |
| P2093 | author name string | Désirée Baumann | |
| P2860 | cites work | The Phantom Menace: Omitted Variable Bias in Econometric Research | Q56028511 |
| | The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models | Q56432345 |
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| | The Problem of Overfitting | Q37414344 |
| | How to recognize and workaround pitfalls in QSAR studies: a critical review | Q37597312 |
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| | A Large-Scale Empirical Evaluation of Cross-Validation and External Test Set Validation in (Q)SAR. | Q39410504 |
| | Critical assessment of QSAR models of environmental toxicity against Tetrahymena pyriformis: focusing on applicability domain and overfitting by variable selection | Q44704169 |
| | Development of QSAR models to predict and interpret the biological activity of artemisinin analogues | Q44992314 |
| | Conceptual complexity and the bias/variance tradeoff | Q45065845 |
| | Prognostic significance of gene expression profiles of metastatic neuroblastomas lacking MYCN gene amplification | Q46527475 |
| | Assessing model fit by cross-validation | Q48017733 |
| | Assessing the statistical validity of proteomics based biomarkers. | Q51914258 |
| | External cross-validation for unbiased evaluation of protein family detectors: application to allergens. | Q51962070 |
| | Feature selection for descriptor based classification models. 1. Theory and GA-SEC algorithm. | Q51997313 |
| | An Introduction to Model Selection. | Q52080627 |
| | Cross-validation as the objective function for variable-selection techniques | Q52083690 |
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 1 | |
| P921 | main subject | cross-validation | Q541014 |
| | quantitative structure-activity relationship | Q766383 |
| P304 | page(s) | 47 | |
| P577 | publication date | 2014-01-01 | |
| P1433 | published in | Journal of Cheminformatics | Q6294930 |
| P1476 | title | Reliable estimation of prediction errors for QSAR models under model uncertainty using double cross-validation | |
| P478 | volume | 6 | |