Fig. 3: RFmod, kNNmod, and NNmod classification scores when predicting independent testing samples having all the probes versus samples having 10% of probes randomly dropped. | npj Precision Oncology

Fig. 3: RFmod, kNNmod, and NNmod classification scores when predicting independent testing samples having all the probes versus samples having 10% of probes randomly dropped.

From: Comparison of DNA methylation based classification models for precision diagnostics of central nervous system tumors

Fig. 3

Line plots showing prediction scores for (a) methylation family and (b) methylation class of GSE109379 data set. Line plots showing (c) methylation family prediction scores and (d) methylation class prediction scores of SJCRH data set. Linear regression lines and the R-squared goodness-of-fit measures were estimated using the scores produced from kNNmod (red), NNmod (green), and RFmod (blue).

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