greenfish77/gaenari

c++ incremental decision tree

Language: C++ - Size: 707 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 26 - Forks: 2

novandikp/DecisionTreeC45

DecisionTreeC45 is a library for creating decision trees using the C4.5 algorithm.

Language: Python - Size: 38.1 KB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 1

triagung128/spk-decision-tree

Repository tugas UAS mata kuliah Kecerdasan Buatan. Tugas yang dikerjakan yaitu membuat sistem pendukung keputusan untuk penentuan ciri ubi jalar dengan metode decision tree algoritma C4.5.

Language: PHP - Size: 4.08 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0

Amar-arruf/App_Skipsiku

Sistem Pendukung Keputusan untuk menentukan layak dan tidaknya seseorang mendapatkan bantuan PKH dengan menggunakan machine learning yaitu C4.5 dan K-Means

Language: SCSS - Size: 14.3 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

ugurcanerdogan/Anti-Phishing

BBM465*ASG4 - In this experiment, we did visual analysis using image files consisting of screenshots. With the threat intelligence module we produced for anti-phishing, we completed website brand classification with screenshots of phishing websites.

Language: C# - Size: 9.54 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

AaronOS0/decision-tree-regression

Decision tree regression implementation by MATLAB.

Language: MATLAB - Size: 1.96 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

ppatriciasy/diabetes-classifier

KLASIFIKASI DATA PENYAKIT DIABETES MENGGUNAKAN ALGORITMA DECISION TREE DAN PARTICLE SWARM OPTIMIZATION

Language: Python - Size: 694 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

mddds08/atm_data_mining

C4.5 atm data mining

Language: PHP - Size: 2.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

santhosh-vairamuthu/Loan-Approval-Predictor

Loan Approval Predictor using python

Language: HTML - Size: 8.53 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

nightspite/id3-c45-classifier

Simple implementation of the ID3 + C4.5 algorithm for decision tree learning

Language: Python - Size: 46.8 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

fordinand45/klasifikasi_penyakit_daun_teh

Membuat klasifikasi penyakit daun teh menggunakan algoritma C45/Decision Tree

Language: Jupyter Notebook - Size: 104 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

saliherdemk/C4.5-Algorithm-Visulizer

Visualization of C4.5 Algorithm

Language: JavaScript - Size: 33.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

csgn/data-mining-alg

Language: Jupyter Notebook - Size: 270 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ksek87/c45-decision-tree-medical-data-mining

Data Mining project to implement Quinlan's C4.5 decision tree algorithm from scratch for medical data mining using the Thyroid allbp dataset

Language: Python - Size: 476 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

ablanco1950/HASTIE_Corrected_DecisionTree

Using the decision tree technique based on entropy calculation, this application calculates the hit rate of the HASTIE file with a hit rate higher than 99%

Language: Python - Size: 1.87 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ablanco1950/SUSY_DecisionTree

A 3-level decision tree achieves a 76.48% success rate in the SUSY file test (https://archive.ics.uci.edu/ml/datasets/SUSY)

Language: Python - Size: 8.79 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

vincentbudianto/ArtificialNeuralNetwork

myID3 and myC45 modules implementation (Tubes1B), myMLP module implementation with mini-batch gradient descent (Tubes1C) and 10-fold cross validation scheme implementation (Tubes1D)

Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0