What are the major challenges of Machine Learning? Consider the following data of students’ heights and weights, and suppose that you have to apply machine learning classification technique to classify Male/Female students’ on the basis of their heights and weights but data shows that there is a class imbalance issue.  Identify class distribution and apply SMOTE technique to resolve the class imbalance issue from the data [Hint: plot scatter graph and then apply SMOTE steps to oversample minority class and undersample majority class]   Class Male Male Female Female Male Male Male Male Female Male Height (cm) 170 180 145 140 166 160 168 160 145 174 Weight (Kg) 92 102 60 55 86 82 86 80 50

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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What are the major challenges of Machine Learning? Consider the following data of students’ heights and weights, and suppose that you have to apply machine learning classification technique to classify Male/Female students’ on the basis of their heights and weights but data shows that there is a class imbalance issue.  Identify class distribution and apply SMOTE technique to resolve the class imbalance issue from the data [Hint: plot scatter graph and then apply SMOTE steps to oversample minority class and undersample majority class]

 

Class

Male

Male

Female

Female

Male

Male

Male

Male

Female

Male

Height (cm)

170

180

145

140

166

160

168

160

145

174

Weight (Kg)

92

102

60

55

86

82

86

80

50

78

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