stroke-prediction-neural-net

a fully connected adaline neural net which try to predict the probability of having a stoke in the future using the BCE loss function and adam optimizer and train on 10 epochs

model architecture

Model: "sequential_1"
_________________________________________________________________
Layer (type)                 Output Shape              Param   
=================================================================
flatten_1 (Flatten)          (None, 10)                0         
_________________________________________________________________
dense_3 (Dense)              (None, 128)               1408      
_________________________________________________________________
dense_4 (Dense)              (None, 128)               16512     
_________________________________________________________________
dense_5 (Dense)              (None, 1)                 129       
=================================================================
Total params: 18,049
Trainable params: 18,049
Non-trainable params: 0

accuracy

• trainning accuracy 94.67 %
• validation accuracy 99.99 %
• testing accuracy 99.99 %

learning curves

model accuracy

model loss