Finally finishing up the project. The extra week was sure needed to iron out all the kinks and make sure the documentation was completed properly. Also needed the time to make the presentation sucks we couldn’t do an actual presentation. But even though this is the end of the project course this is only theContinue reading “Only Just Getting Started!”
Author Archives: thestallions
Kampai!!! The End?
After the long and tiring journey, our documentation and presentations are finally completed, the different comparisons on the final results using different datasets, gave us even more insights to the data and some ideas on what we can do to improve or to even test some hypothesis on sepsis prediction, but that’s a story forContinue reading “Kampai!!! The End?”
The Project Conclusion
We also made some modifications to the model by having the data undersampled and oversampled (with imbalance learn). The results are shown here: -> Random Undersampling Classifiers F1 Score Accuracy Score Precision Score Recall Score ROC AUC Score Random Guessing 0.501245 0.501367 0.501347 0.501149 0.501358 Logistic Regression 0.944553 0.945775 0.966213 0.923844 0.945772 Neural Network 0.957754Continue reading “The Project Conclusion”
Finally Good News!
The new model works! It is great it still needs some tweaking but it is producing promising results. The scores are also better than the competition. We decided to compare it against different classifiers especially the ones the competition used in their research. Hopefully when they are tested they also perform well. We have alsoContinue reading “Finally Good News!”
Almost There! Gambatte!!!
The Feed Forward neural network performed great, with some tweaking and different approaches and data balancing, we had satisfactory results from the models. With results in hand the final grind is on to complete the documentation and presentations for the project now.
The Network Optimization
Hooray!! We finally got reasonable results from evaluating the PyTorch Feedforward Neural Network. Classifiers F1 Score Accuracy Score Precision Score Recall Score ROC AUC Score Random Guessing 0.437825 0.500549 0.389329 0.500129 0.500473 Logistic Regression 0.931898 0.948762 0.964399 0.901518 0.940170 Neural Network 0.941330 0.955052 0.955112 0.928378 0.950201 Random Forest 0.995107 0.996177 0.990894 0.999355 0.996755 Gaussian NaiveContinue reading “The Network Optimization”
Abandon Ship
We have decided to course correct with the guidance of our supervisor since we wouldn’t have the time to properly adjust an LSTM model with the time we have left. Especially checking we need to do a full write and and video presentation for the project. We have decided to put the LSTM on holdContinue reading “Abandon Ship”
Change of Plans
Due to the nearing deadline an the absurd lengths and amounts of assignments and projects that courses have given us in place of our coursework evaluations time is running out and quickly. Lacking a microwave from Steins Gate, a decision was made to delay the LSTM model as future works for the project, and continueContinue reading “Change of Plans”
The Feature Re-engineering
After building the LSTM in PyTorch, we continued to acquire terrible accuracy and F1 scores. This made us rethink our method of predicting sepsis. We contacted our supervisor and decided to switch from an LSTM approach to using a Feedforward Neural Network instead. This would mean that we needed to re-create features. We took theContinue reading “The Feature Re-engineering”
Bad News :(
We processed all of the full data into proper time series on the machine we got access it was so great seeing the code run. Took a good while though. The interpolate code took nine hours! I thought it would never end. But there is bad news…. The model didn’t produce good results. The f1Continue reading “Bad News :(“
The Stallions Chronicle 