-Iris-Dataset

Question.

Program to build models and complete predictive modeling machine learning project using iris dataset

Python libraries used :

pandas,matplotlib,numpy,scikit-learn

Analysis

1. Description of Dataset.

It consist of 5 attributes:-

1. sepal length in cm
2. sepal width in cm
3. petal length in cm
4. petal width in cm
5. class: -- Iris Setosa -- Iris Versicolour -- Iris Virginica

2.Visualization

Scatter Matrix is used to make estimates of the covariance matrix, for instance of the multivariate normal distribution. So we have used scatter matrix here.

3.Spot Check Algorithm

Logistic regression,Linear Discriminant Analysis and SVM are ML algorithms applied on IRIS dataset.LDA found to be the best with mean value 0.966667 greater then other algorithms.

4.Improve accuracy with Algorithm tuning

The result after tuning is 0.3228834275997372.

5.Improving results using ensemble methods.

RandomForestClassifier is being used.

6.Final Model

It is ready to use in ML.

Source of Dataset :

Iris Dataset