Man pages for fmf
Fast Class Noise Detector with Multi-Factor-Based Learning
| australian | Australian Credit Approval |
| class_folds | stratified folds (in classification) [ detailed information... |
| entropy | this function compute entropy |
| fmf | Fast Class Noise Detector with Multi-Factor-Based Learning |
| func_categorical_preds | OPTION to convert categorical features TO either numeric [ if... |
| func_shuffle | shuffle data |
| func_tbl | this function returns a table of probabilities for each label |
| func_tbl_dist | this function returns the probabilities in case of... |
| FUNCTION_weights | this function is used as a kernel-function-identifier [ takes... |
| iris | Iris Data Set |
| kernelknn | kernel k-nearest-neighbors |
| normalization | The Max-Min Normalization |
| normalized | this function normalizes the data |
| ozone | Ozone Level Detection Data Set |
| plot | PCA Plot of the Noise Score of Each Individual |
| regr_folds | create folds (in regression) [ detailed information about... |
| switch.ops | Arithmetic operations on lists |
| tuning | Tuning For Fast Class Noise Detector with Multi-Factor-Based... |
