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decision-tree-classification

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I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

  • Updated Dec 9, 2022
  • Jupyter Notebook

If you miss payments or you don't pay the right amount, your creditor may send you a default notice, also known as a notice of default. If the default is applied it'll be recorded in your credit file and can affect your credit rating. An account defaults when you break the terms of the credit agreement.

  • Updated Mar 30, 2023
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Decision Tree is a decision-making tool that uses a flowchart-like tree structure or is a model of decisions and all of their possible results, including outcomes, input costs and utility. Decision-tree algorithm falls under the category of supervised learning algorithms. It works for both continuous as well as categorical output variables. Deci…

  • Updated Feb 24, 2023
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In this project the data is been used from UCI Machinery Repository. Main aim of this project is to predict telling tumor of each patient is Benign (class – 2) or Malignant (class – 4) the models used are – Decision tree Classification, Logistic Regression, K-Nearest Neighbors, SVM, Kernel SVM, Naïve-Bayes and Random Forest Classification.

  • Updated Jul 15, 2020
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Implementation of Decision Tree algorithm in python, this is a basic implementation and will be helpful for beginners to start, understand and implement Decision Trees. This repository will help in understanding decision trees using Python. This also includes plotting ROC curve, confusion metrics etc.

  • Updated Jun 15, 2020
  • Jupyter Notebook

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