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Predicting Numbers

Hi All,

I am looking for any operator which can predict numbers. Specialy real numbers. Input is like

Name | Factor1 | Factor2 | Factor3 | Factor4 | Rate
===========================================
A | 1 | 7 | 6 | 3 | 100
B | 5 | 3 | 7 | 9 | 150
C | 3 | 9 | 11 | 2 | 75

I want an operator which could predict Rate if we have values of factors.

Please help.

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land

Hi,
we call these type of learning algorithms "regression" and there is a really great number of learners able to do regression. Take a look on the operator info on the learner capabilities. Numerical_label indicates that the learner can predict numbers.
One example for a regression learner is the linear regression.

Greetings,
Sebastian

dubeyankur

Thanks Sebastian,

I tried using linear regression but I am not getting expected result. What I am getting is some sort of mean/ average

Name | Factor1 | Factor2 | Factor3 | Factor4 | Rate | Predicted*
======================================================
A | 1 | 7 | 6 | 3 | 100 | 129.23
B | 5 | 3 | 7 | 9 | 150 | 129.23
C | 3 | 9 | 11 | 2 | 75 | 129.23

In the output I am getting only one value. I am exceting 100/150/75. Am I doing something wrong.

haddock

Hi,

In general when people do not spell out what they are doing it is difficult to tell if they are making a mistake, but not in this case...

If I make this into a csv....


ID,          F1,         F2,              F3,          F4,           L
A        ,   1         ,   7         ,        6      ,     3           , 100   
B        ,   5         ,   3         ,        7      ,     9           , 150   
C        ,   3         ,   9         ,       11     ,     2           ,  75

and set things up like this....


<operator name="Root" class="Process" expanded="yes">
    <operator name="CSVExampleSource" class="CSVExampleSource">
        <parameter key="filename"	value="C:\Users\CJFP\Documents\rm_workspace\joke.csv"/>
        <parameter key="label_name"	value="L"/>
        <parameter key="id_name"	value="ID"/>
    </operator>
    <operator name="LinearRegression" class="LinearRegression">
        <parameter key="keep_example_set"	value="true"/>
    </operator>
    <operator name="ModelApplier" class="ModelApplier">
        <list key="application_parameters">
        </list>
    </operator>
</operator>

Then I get the answers you are expecting