Consider the training data set containing the information of borrowers of a bank shown in the following Table 2. The tra

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Consider The Training Data Set Containing The Information Of Borrowers Of A Bank Shown In The Following Table 2 The Tra 1 (137.25 KiB) Viewed 87 times

Consider the training data set containing the information of borrowers of a bank shown in the following Table 2. The training data set consists of three attributes that are Home Owner, Marital Status, Annual Income and one class label that is On-Time refers to whether borrower repay his/her loan on-time or not. Tid 1 2 3 4 5 6 7 8 9 10 Jadual / Table 2 Bank Borrowers Training Data Set On-Time Marital Status Single Married Single Married Divorced Married Divorced Single Married Single Home Owner Yes No No Yes No No Yes No No No Annual Income 125K 100K 100K 120K 95K 60K 220K 85K 75K 90K No No No No Yes No No Yes No Yes Bina pohon keputusan untuk mengelaskan peminjam-peminjam dalam Jadual 2 kepada sama ada pembayaran tepat masa (Ya) atau pembayaran tidak tepat pada masa (Tidak). Urutan pemilihan atribut ujian untuk membahagi nod adalah Status Perkahwinan -> Pemilik Rumah -> Pendapatan Tahunan. Untuk atribut ujian Pendapatan Tahunan, gunakan median atribut Pendapatan Tahunan untuk membahagi nod. Construct a decision tree for classifying the borrowers given in Table 2 into either repayment on-time (Yes) or repayment not on-time (No). The order of the test attribute selection for splitting node is Marital Status -> Home Owner -> Annual Income. For Annual Income test attribute, use the median of the Annual Income attribute for splitting node.