Machine Learning Supervisionado para Predição ou Regressão
Weka
@RELATION Customer
@ATTRIBUTE U_Neg REAL
@ATTRIBUTE Vendas REAL
@ATTRIBUTE Preco REAL
@ATTRIBUTE Niv_Qual REAL
@ATTRIBUTE Reclama REAL
@ATTRIBUTE NPS REAL
@ATTRIBUTE Satisf REAL
@DATA
1,65.98107775,97.8021978,96.77419355,13.58024691,98.9010989,97.82608696
2,15.83710407,98.9010989,98.38709677,12.34567901,97.8021978,98.91304348
3,8.885232415,100,100,11.11111111,100,100
4,12.46400658,98.9010989,95.16129032,12.34567901,96.7032967,96.73913043
5,80.66639243,21.97802198,19.35483871,100,2.197802198,21.73913043
6,32.16783217,23.07692308,22.58064516,97.5308642,3.296703297,23.91304348
7,23.44714109,24.17582418,24.19354839,96.2962963,2.747252747,25
8,89.9629782,24.17582418,19.35483871,95.0617284,2.197802198,26.08695652
9,31.42739613,64.83516484,56.4516129,50.61728395,65.93406593,65.2173913
10,11.22994652,65.93406593,51.61290323,49.38271605,71.42857143,66.30434783
11,77.45783628,70.32967033,53.22580645,46.91358025,63.73626374,68.47826087
12,23.89962978,68.13186813,51.61290323,45.67901235,61.53846154,67.39130435
13,7.404360346,86.81318681,80.64516129,25.92592593,90.10989011,86.95652174
14,0.287947347,87.91208791,79.03225806,24.69135802,85.71428571,85.86956522
15,83.42245989,87.91208791,77.41935484,22.22222222,90.10989011,88.04347826
16,100,86.81318681,75.80645161,25.92592593,84.61538462,84.7826087
Linear Regression Model
Satisf =
0.2481 * Preco +
0.1063 * Niv_Qual +
-0.4275 * Reclama +
0.1135 * NPS +
57.4038
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