Commit 38f12a73 authored by PauTheu's avatar PauTheu
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parent 2d74ddbc
......@@ -27,8 +27,8 @@ More specifically, the models' output probabilities are acquired via softmax and
We train a neuronal net to predict the failure with extracted features and the region as a categorical feature.
Furthermore we create a decision tree for region recognition for the training data.
We let the decision three to 'recognize' on of the regions of known data for the 'new' test data.
Finally the neuronal net predict the failure probabilities for the test data with the predicted region as a feature.
We train the decision tree to 'recognize' one of the regions of known data for the 'new' test data.
Finally the neuronal net predicts the failure probabilities for the test data with the predicted region as a feature.
## `Others.ipynb`
Data: best features explored in data_exploration.ipynb file
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