two problems: create Threshold and T-test results
I am creating two models and compare there accuracy: first the Logistic and second Neural network for binary classification
I didnot configure threshold , so is this should make the results wrong?
I tried to create threshold using create and apply threshold after applying the model and before perfomance to be 0.5 but the results is the same, although I look to NN threshould in the results it say threshold is 3.24 so why it is not 0.5??
Second Question I made T-test for the accuracy of both Models with the same data inputs it give me the following results
Probabilities for random values with the same result:
----- 0.892
----- -----
Values smaller than alpha=0.050 indicate a probably significant difference between the mean values!
List of performance values:
0: 0.822 +/- 0.049
1: 0.825 +/- 0.074
so what :0 mean and 1 mean?? as the table in the form of
A B C
I didnot configure threshold , so is this should make the results wrong?
I tried to create threshold using create and apply threshold after applying the model and before perfomance to be 0.5 but the results is the same, although I look to NN threshould in the results it say threshold is 3.24 so why it is not 0.5??
Second Question I made T-test for the accuracy of both Models with the same data inputs it give me the following results
Probabilities for random values with the same result:
----- 0.892
----- -----
Values smaller than alpha=0.050 indicate a probably significant difference between the mean values!
List of performance values:
0: 0.822 +/- 0.049
1: 0.825 +/- 0.074
so what :0 mean and 1 mean?? as the table in the form of
A B C