Lines Matching full:samples
232 "the total number of samples in the training data matrix" );
1778 // c_{jk} - number of samples that have vi-th input variable = j and response = k.
2054 // LL - number of samples that both the primary and the surrogate splits send to the left
2077 // initially all the samples are sent to the right by the surrogate split,
2126 // initially all the samples are sent to the right by the surrogate split,
2167 // LL - number of samples that both the primary and the surrogate splits send to the left
2180 // for each category calculate the weight of samples
2232 // in each category send all the samples to the same direction as majority
2263 // * node risk is the weighted number of misclassified samples,
2265 // but using the samples with cv_labels(*)!=j.
2267 // misclassified samples with cv_labels(*)==j.
2363 // n is the number of samples in the node.
2366 // but using the samples with cv_labels(*)!=j.
2368 // using samples with cv_labels(*)==j as the test subset:
2372 // over the samples with cv_labels(*)==j.
