Rule 4 with 4.50 for class 0 with likelihood 50.18%: 42.70 < Age_of_patient_at_time_of_operation ∧ 1.69 < Number_of_positive_axillary_nodes_detected
Rule 1 with 3.36 for class 1 with likelihood 56.26%: 36.62 < Age_of_patient_at_time_of_operation ∧ 6.22 < Number_of_positive_axillary_nodes_detected
Rule 8 with 2.14 for class 1 with likelihood 84.16%: Age_of_patient_at_time_of_operation < 76.45 ∧ Patients_year_of_operation < 10.22 ∧ Number_of_positive_axillary_nodes_detected < 46.50
Rule 7 with 1.90 for class 1 with likelihood 81.34%: Age_of_patient_at_time_of_operation < 73.61 ∧ 0.81 < Patients_year_of_operation ∧ Number_of_positive_axillary_nodes_detected < 47.07
Rule 3 with 1.82 for class 1 with likelihood 67.53%: 41.57 < Age_of_patient_at_time_of_operation ∧ 0.84 < Number_of_positive_axillary_nodes_detected
Rule 9 with 1.72 for class 1 with likelihood 81.30%: Age_of_patient_at_time_of_operation < 73.26 ∧ 1.19 < Patients_year_of_operation ∧ Number_of_positive_axillary_nodes_detected < 46.43
Rule 0 with 1.67 for class 1 with likelihood 69.33%: 41.13 < Age_of_patient_at_time_of_operation ∧ 1.26 < Number_of_positive_axillary_nodes_detected
Rule 5 with 1.63 for class 1 with likelihood 81.73%: Age_of_patient_at_time_of_operation < 72.69 ∧ Number_of_positive_axillary_nodes_detected < 47.06
Rule 6 with 1.52 for class 1 with likelihood 79.89%: Age_of_patient_at_time_of_operation < 73.21 ∧ Number_of_positive_axillary_nodes_detected < 46.30
Rule 2 with 1.00 for class 1 with likelihood 75.04%: 39.80 < Age_of_patient_at_time_of_operation ∧ 3.43 < Number_of_positive_axillary_nodes_detected
