Super easy Python stock price forecasting(using XGBoost) Machine learning

1. tool installation

$ pip install install scikit-learn xgboost pandas-datareader

2. file creation

3. execution

$ python

That’s super easy!

4. result

As a result of calculation with the same data and features, MLP are the best among XGBoost, DNN, LSTM, GRU, RNN, LogisticRegression, k-nearest neighbor, RandomForest, BernoulliNB, SVM, RGF, MLP, Bagging, Voting, Stacking.

XGBoost            0.5119047619047619
DNN 0.5496031746031746
LSTM 0.5178571428571429
GRU 0.5138888888888888
RNN 0.5376984126984127
LogisticRegression 0.5496031746031746
k-nearest neighbor 0.5198412698412699
RandomForest 0.49603174603174605
BernoulliNB 0.5496031746031746
SVM 0.5396825396825397
RGF 0.5158730158730159
MLP 0.5694444444444444
Bagging 0.5297619047619048
Voting 0.5416666666666666
Stacking 0.5218253968253969

5. reference




Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Managing a GIT Repository for a Small Team

Basics of Python Programming 1

Gitlab Omnibus + Gitlab registry behind HAproxy guide!

Learn the Command Design Pattern

Stop being typist, use vs-code Snippet Generator

Never postpone your product’s security

Install Terraform on Windows 11

Identify Website Users By Client Port Scanning — Using WebAssembly And Go

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store


More from Medium

Python: Why axis = 0 leads to column wise Mean/Sum, but row wise drop/deletion?

Titanic Survival Prediction using Tensorflow

Demystifying Time Series: A Beginner’s Guide to dealing with Date & Time (Part 1)

Artificial Neural Network in Python; ASD Detection in Fetuses Using an Ultrasound Measurement