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Evaluation of different classification models on CoverType dataset

Dataset source

https://archive.ics.uci.edu/ml/datasets/covertype

Classifiers

  • DecisionTree (Acc. 88%)
  • KNN (Acc. 87%)
  • NaiveBayes
  • Neural Network (Acc. 75%)

Usage

To obtain a classifier's prediction using RestAPI, send a POST request to the /classify endpoint with the following data: {"feature_data": <feature vector>, "model": "<model name: DecisionTree|KNN|NN|NaiveBayes>"}

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Classification of forest cover types based on CoverType dataset using Scikit-learn and Tensorflow

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