Unknown user at 08:24, 11 February 2025

2025-02-11T08:24:47Z

← Older revision		Revision as of 08:24, 11 February 2025
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	[[File:ORANGE-iris.png\|center\|400px\|thumb]]		[[File:ORANGE-iris.png\|center\|400px\|thumb]]



			The screenshot depicts an '''Orange Data Mining''' workflow for '''machine learning and visualization'''. Orange is an open-source tool used for data analysis and visualization, providing a '''graphical, drag-and-drop''' interface for building workflows.

			=='''Key Components in the Workflow:'''==

			1. '''Data Input & Preprocessing:'''
			* '''Datasets (Data Table)''': This node represents the input dataset being used for analysis.
			* '''Scatter Plot, Distributions, FreeViz''': These are '''visualization widgets''' used to explore the data through various plots.

			2. '''Machine Learning Models (Learners):'''
			* '''SVM (Support Vector Machine)'''
			* '''Calibrated Learner'''
			* '''kNN (k-Nearest Neighbors)'''
			* '''CN2 Rule Induction'''
			* '''AdaBoost'''
			* '''Neural Network'''
			These models represent different classification algorithms used for training.

			3. '''Evaluation:'''
			* '''Test and Score''': This node is responsible for evaluating the performance of different machine learning models. It takes multiple learner inputs and compares their effectiveness based on metrics like accuracy, precision, recall, or AUC.

			4. '''Visualization Widgets:'''
			* '''Scatter Plot''': Helps visualize relationships between features.
			* '''Distributions''': Shows how different features are distributed.
			* '''FreeViz''': A projection method for visualizing data in a multidimensional space.

			=='''Summary of the Workflow:'''==
			The workflow '''starts with a dataset''', which is passed through '''visualization nodes for exploration'''. Multiple '''machine learning models''' are trained using the dataset, and their '''performance is evaluated using Test and Score'''. The workflow allows users to compare different models and interpret the data through visual analysis.

			This setup is commonly used in '''classification tasks''', making it easy to test multiple algorithms and determine the best-performing model.

Onnowpurbo: Created page with " thumb ==Pranala Menarik== * Orange"

2019-10-13T00:55:37Z

Created page with " center|400px|thumb ==Pranala Menarik== * Orange"

New page

[[File:ORANGE-iris.png|center|400px|thumb]]

==Pranala Menarik==

* [[Orange]]

Orange: Iris - Revision history

Unknown user at 08:24, 11 February 2025

Onnowpurbo: Created page with " thumb ==Pranala Menarik== * Orange"