Posts Tagged ‘R’

Python Vs R: Random Forest models for IS/OS Predictions

Last week I talked about a random forest model that seemed to have a significant statistical edge in predicting the 6 month profitability of price action based trading strategies. This model was built using the R randomForest library and gave results that were able to significantly improve the average returnsĀ of randomly split cross-validation sets, meaning […]

Subscribe to RSS Feed Follow me on Twitter!
Show Buttons
Hide Buttons