Sentence examples for by splitting the samples from inspiring English sources

K-fold cross validation analysis is done by splitting the samples of the examined dataset to train- and test-sets.

For each individual biological replicate, technical duplicates were obtained by splitting the samples after sonication, and by processing them separately in the subsequent steps.

In order to generate Kaplan-Meier curves log transformed normalized Cq values were converted into discrete variables by splitting the samples into "high" and "low" expression group using quartile method.

Each round of CV would begin by splitting the samples into a training set (90% of the samples) and a test set (10% left-out samples), with gene selection and training being performed on the 90% and then used to predict the status of the withheld 10%.

The statistical evaluation of the procedures involved 10 samples of the same truckload of waste obtained by splitting the sample at each level in the procedure according to a staggered, incomplete nested statistical design.

Table 4 provides suggestive evidence in favor of this argument by splitting the sample according to marital status.

We additionally explored this behavior-neural processing association by comparing "low" and "high" subgroups derived by splitting the sample based on the median mMJI score of 359 (equivalent to the transition from Stage 3 to Stage 4 in Kohlberg's model of moral development).

When we explored the impact of IQ on GWA results by splitting the sample by probands with IQ >80 and those with IQ <70, no P-value exceeded the threshold for GWA significance and none met criterion P < 1 × 10−6.

Briefly, a decision tree such as the one illustrated in Fig.  1 is grown by splitting the sample into two parts, referred to as "daughter nodes", based on the ROH4Mb value (i.e. 0 or 1).

Approach 2 (correct): perform cross-validation by repeatedly splitting the samples into a training set and a test set.

Perform cross-validation by repeatedly splitting the samples into training and test sets, fitting a logistic regression model on the training set (using just the 10% of features previously identified), and then evaluating the model's performance on the test set.