stuff

README.md

 # WindTurbinePrediction
-## Others: Versuch_Paul.ipynb:
-Data: use ten best features explored in data_exploration.ipynb file
-### Approaches:
-1. Lightgbm: leaf wise tree growth (best first) instead of level wise tree growth. low acc.
-2. Easy NN: 2 hidden layers, batches 64, epochs 50, binary classification, Relu, ADAM. low acc.
-3. TPOPT: looks for the best classification pipeline. Currently only on mean feature data.
 
 This repository resembles our solution approach to the second PSDA task.
 
@@ -30,7 +24,7 @@ The models' predictions are combined by using a weighted majority vote.
 More specifically, the models' output probabilities are acquired via softmax and averaged to form the ensemble's output.
 
 ## `Others.ipynb`
-Data: use ten best features explored in data_exploration.ipynb file
+Data: best features explored in data_exploration.ipynb file
 
 ### Approaches:
 1. Lightgbm: leaf wise tree growth (best first) instead of level wise tree growth. low acc.