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Table 17 Results for gender prediction

From: Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study

Model tree (rules)

Features

If (feature 79 ≤ 3.3846153846153846)

If (feature 103 ≤ 2.2285714285714286)

If (feature 214 ≤ 2093.0)

If (feature 105 ≤ 0.17407765595569782)

If (feature 78 ≤ 3.0344827586206895)

Predict: 0.0 Else (feature 78 > 3.0344827586206895)

Predict: 1.0 Else (feature 105 > 0.17407765595569782)

If (feature 184 ≤ 2518.617404647386) Predict: 0.0

Feature79 = std dur per day holiday out

Feature103 = std dur per call work time out

Feature214 = avg trans per cnt

Feature105 = avg dur per callworkday

Feature78 = std dur per day holiday