How to implement voting ensemble in Python?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

How to implement voting ensemble in Python?

How to implement voting ensemble in Python?

This recipe helps you implement voting ensemble in Python

0
In [1]:
## How to implement voting ensemble in Python
## DataSet: skleran.datasets.load_breast_cancer()
def Snippet_184():
    print()
    print(format('How to implement voting ensemble in Python','*^82'))
    import warnings
    warnings.filterwarnings("ignore")
    # load libraries
    from sklearn import model_selection
    from sklearn.linear_model import LogisticRegression
    from sklearn.tree import DecisionTreeClassifier
    from sklearn.svm import SVC
    from sklearn.ensemble import VotingClassifier
    from sklearn import datasets
    from sklearn.model_selection import train_test_split
    import matplotlib.pyplot as plt

    plt.style.use('ggplot')

    # load datasets
    seed = 42
    dataset = datasets.load_breast_cancer()
    X = dataset.data; y = dataset.target
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25)
    kfold = model_selection.KFold(n_splits=10, random_state=seed)

    # create different models
    estimators = []
    model1 = LogisticRegression(); estimators.append(('logistic', model1))
    model2 = DecisionTreeClassifier(); estimators.append(('cart', model2))
    model3 = SVC(); estimators.append(('svm', model3))

    # create the ensemble model
    ensemble = VotingClassifier(estimators)
    results = model_selection.cross_val_score(ensemble, X_train, y_train, cv=kfold)
    print(); print(results.mean())

Snippet_184()
********************How to implement voting ensemble in Python********************

0.9462901439645626

Relevant Projects

Data Science Project - Instacart Market Basket Analysis
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Choosing the right Time Series Forecasting Methods
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Time Series Forecasting with LSTM Neural Network Python
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

Zillow’s Home Value Prediction (Zestimate)
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

Natural language processing Chatbot application using NLTK for text classification
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Resume parsing with Machine learning - NLP with Python OCR and Spacy
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

Predict Employee Computer Access Needs in Python
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.