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first time user and first time neural network learner clarification needed
hey guys,
this is my first time using Rapidminer, I been watching youtube videos on how to import data and etc.
I am having a hard time understanding ImprovedNeuralNet TAP.
So I ran the data and i got this window(see bellow)
My question is
===========
1)What is this ImprovedNeuralNet tap telling me??
2) what is output telling me??
3) what is node??
4 ) what is threshold??
5) ***Finally is the output regression written like this ??
Y= -2.544(BOOK) +1.648(Tea T-1) +1.425(Tea T-2)-1.794(Tea T-3)
==========================
==========================
ImprovedNeuralNet
Hidden 1
========
Node 1 (Sigmoid)
----------------
BOOK: -2.843
Tea T-1 : -0.918
Tea T-2 : -1.112
Tea T-3 : 2.088
Bias: -3.673
Node 2 (Sigmoid)
----------------
BOOK : 2.197
TEA T-1 : -1.435
TEA T-2 : -0.601
TEA T-3 : 0.797
Bias: -2.739
Node 3 (Sigmoid)
----------------
BOOK: -0.387
SPY T-1 : -2.403
SPY T-2 : 2.422
SPY T-3 : -4.690
Bias: -5.121
Node 4 (Sigmoid)
----------------
BOOK: -2.066
TEA T-1 : -0.799
TEA T-2 : 0.651
TEA T-3 : -1.014
Bias: -2.397
Output
======
Regression (Linear)
-------------------
Node 1: -2.544
Node 2: 1.648
Node 3: 1.425
Node 4: -1.794
Threshold: 0.196
this is my first time using Rapidminer, I been watching youtube videos on how to import data and etc.
I am having a hard time understanding ImprovedNeuralNet TAP.
So I ran the data and i got this window(see bellow)
My question is
===========
1)What is this ImprovedNeuralNet tap telling me??
2) what is output telling me??
3) what is node??
4 ) what is threshold??
5) ***Finally is the output regression written like this ??
Y= -2.544(BOOK) +1.648(Tea T-1) +1.425(Tea T-2)-1.794(Tea T-3)
==========================
==========================
ImprovedNeuralNet
Hidden 1
========
Node 1 (Sigmoid)
----------------
BOOK: -2.843
Tea T-1 : -0.918
Tea T-2 : -1.112
Tea T-3 : 2.088
Bias: -3.673
Node 2 (Sigmoid)
----------------
BOOK : 2.197
TEA T-1 : -1.435
TEA T-2 : -0.601
TEA T-3 : 0.797
Bias: -2.739
Node 3 (Sigmoid)
----------------
BOOK: -0.387
SPY T-1 : -2.403
SPY T-2 : 2.422
SPY T-3 : -4.690
Bias: -5.121
Node 4 (Sigmoid)
----------------
BOOK: -2.066
TEA T-1 : -0.799
TEA T-2 : 0.651
TEA T-3 : -1.014
Bias: -2.397
Output
======
Regression (Linear)
-------------------
Node 1: -2.544
Node 2: 1.648
Node 3: 1.425
Node 4: -1.794
Threshold: 0.196
Tagged:
0
Answers
You should read some bibliography about Neural Networks, and also maybe look into your results, you want to evaluate a model not just read the architecture and extract a formula.
You should give more details about your project, what are you trying to predict, and how to implement the model. Did you do some data preparation on your attributes?
On 5), no that's not what you need, a NN is more complex than a simple regression. That I believe is just the final regression of the NN.
Cheers.