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  /external/opencv3/modules/ml/src/
rtrees.cpp 198 double ncorrect_responses = 0.; local
215 ncorrect_responses += std::exp( -val*val );
228 ncorrect_responses += diff == 0;
268 varImportance[vi] += (float)(ncorrect_responses - ncorrect_responses_permuted);
  /external/opencv/ml/src/
mlrtrees.cpp 360 double ncorrect_responses = 0; // used for estimation of variable importance local
404 ncorrect_responses += exp( -resp*resp );
421 ncorrect_responses += cvRound(predicted_node->value - true_resp_ptr[i]) == 0;
479 var_importance->data.fl[m] += (float)(ncorrect_responses

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