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Best-scored Random Forest
The dataset used in this paper is a binary classification problem. -
Statistical features dataset
The dataset consists of 24 raw statistical features used for training and validating the standard Random Forest classifier. -
Divide-and-Conquer based Ensemble to Spot Emotions in Speech using MFCC and R...
The proposed method uses a divide-and-conquer strategy for ensemble classification to recognize emotions in speech. -
Causal Transfer Random Forest
The dataset used in the paper is a combination of logged data and randomized experiment data. -
Spitzoid Lesions Diagnosis based on GA feature selection and Random Forest
Spitzoid lesions dataset used for diagnosis of Spitzoid lesions using GA feature selection and Random Forest
