Research Article
Paddy Crop and Weed Discrimination: A Multiple Classifier System Approach
Algorithm 1
Algorithm for calculating weights of each class of each classifier.
(1) | Input | (2) | Train set-1 Train data set with class labels | (3) | Test-set Test data | (4) | k Number of classes | (5) | n Number of classifiers | (6) | Output | (7) | W[n][k] Weight of each class of each classifier | (8) | X_train, X_ ⟵ weight divide the Train set-1 into two sets in the ratio of 80 : 20 | (9) | len ⟵ length of X_weight | (10) | for i 1 ⟵ to n do | (11) | Train Ci on X_train | (12) | Predict using Ci on X_weight | (13) | for j ⟵ 0 to k − 1 do | (14) | W[i][j] ⟵ (number of samples that belong to j class that were correctly classified by classifier Ci)/len | (15) | end for | (16) | end for |
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