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Jumlah data = 15 | |
TP + FP + FN = 15 | |
Akurasi Iterasi ke-1 = 73.33333333333333 | |
recall = 11 / (11 + 2) = 0.8461538461538461 | |
precition = 11 / (11 + 2) = 0.8461538461538461 | |
F-measure = 2 * (precision * recall) / (precision + recall) = 0.8461538461538461 | |
-------------------- | |
Jumlah data = 15 | |
TP + FP + FN = 15 | |
Akurasi Iterasi ke-2 = 26.666666666666668 | |
recall = 4 / (4 + 2) = 0.6666666666666666 | |
precition = 4 / (4 + 9) = 0.3076923076923077 | |
F-measure = 2 * (precision * recall) / (precision + recall) = 0.42105263157894735 | |
-------------------- | |
Jumlah data = 15 | |
TP + FP + FN = 15 | |
Akurasi Iterasi ke-3 = 80.0 | |
recall = 12 / (12 + 1) = 0.9230769230769231 | |
precition = 12 / (12 + 2) = 0.8571428571428571 | |
F-measure = 2 * (precision * recall) / (precision + recall) = 0.888888888888889 | |
-------------------- | |
Jumlah data = 15 | |
TP + FP + FN = 15 | |
Akurasi Iterasi ke-4 = 73.33333333333333 | |
recall = 11 / (11 + 2) = 0.8461538461538461 | |
precition = 11 / (11 + 2) = 0.8461538461538461 | |
F-measure = 2 * (precision * recall) / (precision + recall) = 0.8461538461538461 | |
-------------------- | |
Jumlah data = 18 | |
TP + FP + FN = 18 | |
Akurasi Iterasi ke-5 = 55.55555555555556 | |
recall = 10 / (10 + 4) = 0.7142857142857143 | |
precition = 10 / (10 + 4) = 0.7142857142857143 | |
F-measure = 2 * (precision * recall) / (precision + recall) = 0.7142857142857143 | |
-------------------- | |
-------------------- | |
Avg Akurasi = 61.77777777777777 |
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