Selected variables once applied the wrapper-based approach with the respective data mining method and genetic search algorithm

Table 3: Selected variables once applied the wrapper-based approach with the respective data mining method and genetic search algorithm.

Method	Number of variables	Selected variables
CART	14	Age group, Wheeze, Dyspnoea (climbing one flight of steps), Phlegm (in the morning), Phlegm (Day), Phlegm (daily for three months), Family history of asthma, Oppression, Spontaneous drowning, Waking up drowning, General physical fitness, Rhinitis and/or Sinusitis, Heart disease, Pulmonary disease.
J48	9	Sex, Age group, Dyspnoea (climbing one flight of steps), Dyspnoea (walking on level ground), Phlegm (daily for three months), Diagnosed asthma, Spontaneous drowning, Waking up drowning, Heart disease.
JRip	12	Smoking intensity, Cough (in the morning), Cough (daily for three months), Dyspnoea (climbing one flight of steps), Dyspnoea (walking on level ground), Dyspnoea (walking without other disease), Dyspnoea (dressing or washing), Phlegm (daily for three months), Diagnosed asthma, Drowning on exertion, Pulmonary disease, Pneumonia.
PART	13	Age group, Cough (in the morning), Dyspnoea (climbing one flight of steps), Dyspnoea (dressing or washing), Phlegm (daily for three months), Diagnosed asthma, Family history of asthma, Spontaneous drowning, Waking up drowning, Rhinitis and/or Sinusitis, Heart disease, Pulmonary disease, Pneumonia.
Logistic regression	9	Age group, Dyspnoea (climbing one flight of steps), Dyspnoea (walking on level ground), Dyspnoea (non cardiac), Diagnosed asthma, Drowning on exertion, Waking up drowning, Rhinitis and/or Sinusitis, Heart disease.