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README.md

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@@ -13,6 +13,7 @@ The project uses its main class Predictor, please ignore the others and you must
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Caren:
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takes a file with 60 characters, example:
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12,34,223,212,1,0,34,131,123, ... ,3
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then it divides the collected data in two groups,
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[[12,34,223,212],[1,0,34,131]]
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Helen:
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this class get both files generated with Caren.
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with those characters it train the model
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then in an infinite cycle it receives 11 data and predicts the performance
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based on this data.
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Predictor:
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this class has the following methods:
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train: train the model with 2 given arrays of 11 and 49 characters
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predict: predicts the performance of a student based on 11 personal characters.
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interpret: interprets the predicted obtained.
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try: receive 20% of the data and calculate how accurate the model is
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To see the generated tree, run this command:
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to see the generated tree this command must be executed:
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$ python Probar.py
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$ dot -Tpng tree.dot -o tree.png
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$ dot -Tps tree.dot -o tree.ps

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