Predict which passengers are transported to an alternate dimension
Metric: Accuracy
| Algorithm | Train | Test | Final |
|---|---|---|---|
| Adaboost | 0.7952 | 0.7935 | 0.5003 |
| DecisionTree | 0.9744 | 0.7366 | 0.6869 |
| ExtraTrees | 0.9805 |
0.7895 | 0.7689 |
| GradientBoosting | 0.8120 | 0.8050 |
0.7907 |
| KNeighbors | 0.8143 | 0.7504 | 0.7633 |
| Logistic | 0.7766 | 0.7763 | 0.7809 |
| RandomForest | 0.9749 | 0.7929 | 0.7696 |
- How to setup Project Environments in Julia
- Setup Julia on Jupyter Notebook
- Work with Julia on Jupyter Notebook
- Working with CSV.jl & DataFrame.jl
- Working with DataFrame.jl GFG
- Working with DataFrame.jl Bogumił Kamiński
- Working with DataFrame.jl Syl1
- Handling Missing Values
- Introduction to Julia MLJ
- Introduction to Machine Learning with Julia