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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??

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

45Contributor IIYou 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.