Support Vector Machine

Introduction

This guide provides steps to perform SVM analysis in Cycon ML/AI platform, and compares it with the code available within Kaggle platform.

Note

• Name: Iris CSV

• Path: Tests/sampleCSV_MLA_Classification/iris.csv

• Kaggle: https://www.kaggle.com/code/arshid/support-vector-machine-on-iris-flower-dataset

• Shape: (150, 5)

• Classes: Iris-setosa, Iris-versicolor, Iris-virginica

• Purpose: Identify class of iris flowers given petal information.

Data

Method

CyCon

kaggle

x=iris.iloc[:,:-1]
y=iris.iloc[:,4]
x_train,x_test, y_train, y_test=train_test_split(x,y,test_size=0.30)
model=SVC()
model.fit(x_train, y_train)

Result

CyCon

Kaggle