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ML_Project

PESIO_project TEAM NO 4 BATCH 2 MADE BY: Anashua Krittika Dastidar Jimish Murg Rakesh BB Srinivas Y

DESCRIPTION:

  1. DATASET : https://archive.ics.uci.edu/ml/datasets/seeds
  2. MODEL: SVM
  3. Training :70 percent
  4. Testing :30 percent

SUMMARY: The dataset contains of 210 instances of 3 different varieties of wheat namely Kama(type 1) , Rosa(type 2) and Canadian (Type 3) . We have tried to classify the given dataset into these three types using the given attributes . Area Perimeter Compactness Length of kernel Width of kernel Asymmetry coefficient Length of kernel groove For this task we have use SVM

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