Click here to Skip to main content
15,909,091 members
Everything / XGBoost

XGBoost

XGBoost

Great Reads

by Intel
Accelerate Your XGBoost, LightGBM, and CatBoost Inference Workloads with Intel® oneAPI Data Analytics Library (oneDAL)

Latest Articles

by Intel
Accelerate Your XGBoost, LightGBM, and CatBoost Inference Workloads with Intel® oneAPI Data Analytics Library (oneDAL)

All Articles

Sort by Score

XGBoost 

18 Dec 2023 by Intel
Accelerate Your XGBoost, LightGBM, and CatBoost Inference Workloads with Intel® oneAPI Data Analytics Library (oneDAL)
31 May 2023 by Maciej Los
If you want to display numbers in custom format, please read this: format — Python Reference (The Right Way) 0.1 documentation[^]
25 Aug 2023 by Jin Choi, PhD
The perfect R2 score is 1. Yours is 0.6, which feels high to me given the context of predicting used car prices. Your MAE result looks totally off though. It suggests your that your predicted price is off by 44 million. I don't know which units...
9 Jun 2023 by Alva Rizky
So create a program to predict car price, i use streamlit. then user must fill out the form. Then there form which user should fill the year of the car. Here is the code year = st.number_input('What year was the vehicle manufactured in ? ' ,...
9 Apr 2023 by Alva Rizky
In here i try to predict selling price of used car using XGBoost algorithm, the total of dataset is only 311. for the column are Name, seller type, year, selling price, transmission, km driven, owner. R2 RESULT : score =...
31 Mar 2023 by Alva Rizky
Here the code from begin : import pandas as pd import numpy as np import matplotlib.pyplot as plt import numpy as np import warnings warnings.filterwarnings('ignore') import seaborn as sns sns.set_style("whitegrid") from...
20 May 2023 by Alva Rizky
I have a pickle dataset, the labels i want to change is "mouse_type" to "mouse" label. I used streamlit How can i do it ? Thank you What I have tried: I have no idea, need help Thank you
22 May 2023 by Alva Rizky
Is it possible if i transform numerical value into categorical value after the dataframe become model/machine learning and saved as pickle format file ? in this case i creating prediction system What I have tried: If that possible, can anyone...