All Questions
7 questions
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112
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Keras binary classification on multiple outputs
My goal is to design and train a model to detect points of derivative discontinuity in a line profile. The input data of my model are 1D vectors, with some geometrical shapes [as shown in Fig 3], one ...
- 11
0
votes
1
answer
99
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Binary categorial classification of customer journey
I would like to develop a model which can classify the binary nature of customer journey (1 signifies that the journey was completed with a purchase and 0 with no purchase ("jrn_type" column). The ...
- 185
0
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0
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67
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Keras - shouldn't two class variables result in four possible outputs?
I've been using Keras for a heart classification problem. Most guides online usually train a binary classification problem by signifying 0 and 1 as different states. In my case, I followed this by ...
2
votes
1
answer
549
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Binary classification - computing average of accuracy per class does not equal overall accuracy
I have a binary classification problem with balanced number of examples per class. When testing the performance of the classifier on the test set, if I use all examples from both classes I get an ...
- 3,253
19
votes
1
answer
33k
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Binary classification with Softmax
I am training a binary classifier using Sigmoid activation function with Binary crossentropy which gives good accuracy around 98%.
The same when I train using softmax with categorical_crossentropy ...
- 2,825
0
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1
answer
170
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Binary Classification with Keras on Seizure dataset
At first, I´m using the Epileptic Seizure Recognition Data Set
(source: http://archive.ics.uci.edu/ml/datasets/Epileptic+Seizure+Recognition)
Hey I´m having problem to fit my model to the dataset.
...
- 113
-1
votes
1
answer
175
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Why is there a decrease in the performance of pre-trained Deep Learning models?
Doing binary classification with infected/uninfected RBCs (something the pretrained DL models have never seen before) using models and weights from Keras. I find the performance of the models (vgg16,...
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