Rule 2 with 4.97 for class 0 with likelihood 54.30%: 43.32 < Age_of_patient_at_time_of_operation ∧ 4.94 < Number_of_positive_axillary_nodes_detected
Rule 3 with 4.22 for class 1 with likelihood 51.18%: 44.94 < Age_of_patient_at_time_of_operation ∧ 2.32 < Number_of_positive_axillary_nodes_detected
Rule 0 with 3.61 for class 1 with likelihood 57.78%: 44.72 < Age_of_patient_at_time_of_operation ∧ 2.04 < Number_of_positive_axillary_nodes_detected
Rule 6 with 2.65 for class 1 with likelihood 84.99%: Age_of_patient_at_time_of_operation < 73.69 ∧ 1.31 < Patients_year_of_operation ∧ Number_of_positive_axillary_nodes_detected < 46.60
Rule 1 with 2.13 for class 1 with likelihood 68.63%: 46.20 < Age_of_patient_at_time_of_operation ∧ 1.83 < Number_of_positive_axillary_nodes_detected
Rule 9 with 2.04 for class 1 with likelihood 85.77%: Age_of_patient_at_time_of_operation < 72.72 ∧ 0.49 < Patients_year_of_operation ∧ Number_of_positive_axillary_nodes_detected < 46.42
Rule 5 with 1.99 for class 1 with likelihood 86.31%: Age_of_patient_at_time_of_operation < 76.15 ∧ 0.58 < Patients_year_of_operation
Rule 7 with 1.72 for class 1 with likelihood 83.25%: Age_of_patient_at_time_of_operation < 74.86 ∧ Number_of_positive_axillary_nodes_detected < 46.38
Rule 8 with 1.65 for class 1 with likelihood 83.22%: Age_of_patient_at_time_of_operation < 76.35 ∧ Number_of_positive_axillary_nodes_detected < 46.34
Rule 4 with 1.00 for class 1 with likelihood 79.10%: 44.11 < Age_of_patient_at_time_of_operation ∧ 5.80 < Number_of_positive_axillary_nodes_detected
