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Acitvation Tanh \r\nReduced the number of neurons per each layer around 30 - 30 - 10 -10 - 5 - 2. Activation all linear but the last one - Accuracy around 63 %\r\ntried to change all neurons but last one to Tanh. for most layers - Reduced the number of neurons to even below 10 ( first layer has 20 ) - Acc 50 %\r\nTried to change all activation function but last one to Hard sigmoid - Acc 58 %\r\n\r\nLinear except last one sigmoid  - Acc 40 %\r\n\r\nLast one to tanh - Acc 51 %\r\nInreased the number of neurons and Relu  - Acc around 40 %ce","Testing combining all descript and fingerprint -  (first has 245 neurons )100 and 50 neurons All tanh. The optimzer is set on ADAM  -  98 % accuracy  (However,  i have noticed that the predictions are either negative or close to one and then the rule engine determine the class. Not sure why the are negative ).\r\nWith stoch grad and learn rate 0.001  - acc 98 %\r\n- whole database used - massive drop in accuracies (below 50 % )\r\ntried to increase epochs and training batch and valida - 200 - 50 - 15 - ACC 92 %","DATA  INPUT","MODEL LEARNING","EXTERNAL VALIDATION","PERFORMANCE EVALUATION"],"name":"KNIME_project5"}}