mi_unify_mod: Predict with four models and unify results by the sub-model's...

In MantaID: A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs

Predict with four models and unify results by the sub-model's specificity score to the four possible classes.

Description

Predict with four models and unify results by the sub-model's specificity score to the four possible classes.

Usage

mi_unify_mod(
  data,
  col_id,
  result_rg,
  result_rp,
  result_xgb,
  result_BP,
  c_value = 0.75,
  pad_len = 30
)

Arguments

data	A dataframe contains the ID column.
col_id	The name of ID column.
result_rg	The result from the Random Forest model.
result_rp	The result from the Decision Tree model.
result_xgb	The result from the XGBoost model.
result_BP	The result from the Backpropagation Neural Network model.
c_value	A numeric value used in the final prediction calculation.
pad_len	The length to pad the ID characters to.

Value

A dataframe.

MantaID documentation built on Sept. 11, 2024, 6 p.m.