Publications by Ian Johnson
R Neural Network
In the previous four posts I have used multiple linear regression, decision trees, random forest, gradient boosting, and support vector machine to predict MPG for 2019 vehicles. It was determined that svm produced the best model. In this post I am going to use the neuralnet package to fit a neural network to the cars_19 dataset.T...
2619 sym R (3470 sym/10 pcs) 2 img
R TensorFlow Deep Neural Network
In the previous post I fitted a neural network to the cars_19 dataset using the neuralnet package. In this post I am going to use TensorFlow to fit a deep neural network using the same data.The main difference between the neuralnet package and TensorFlow is TensorFlow uses the adagrad optimizer by default whereas neuralnet uses rpro...
1756 sym R (2361 sym/4 pcs) 4 img
R Robustreg Package Downloads
I built robustreg in 2006 and at the time the major stat packages did not have a robust regression available. Below are graphs of weekly and cumulative downloads from just the RStudio mirror. I would estimate total downloads at over 150,000.The median_rcpp() function is written in C++ and is multiple times faster than the R base f...
801 sym R (268 sym/1 pcs) 4 img
R XGBoost Regression
In the previous posts, I used popular machine learning algorithms to fit models to best predict MPG using the cars_19 dataset. It was discovered that support vector machine produced the lowest RMSE. In this post I am going to use XGBoost to build a predictive model and compare the RMSE to the other models. The raw data is located on the EPA g...
1728 sym R (2032 sym/5 pcs) 8 img
R XGBoost Regression
In the previous posts, I used popular machine learning algorithms to fit models to best predict MPG using the cars_19 dataset. It was discovered that support vector machine produced the lowest RMSE. In this post I am going to use XGBoost to build a predictive model and compare the RMSE to the other models. The raw data is located on the EPA g...
1728 sym R (2032 sym/5 pcs) 8 img