Rule 0 with 2.88 for class 1 with likelihood 57.55%: 42.65 < Age_of_patient_at_time_of_operation ∧ 3.20 < Number_of_positive_axillary_nodes_detected
Rule 4 with 2.35 for class 1 with likelihood 61.18%: 42.80 < Age_of_patient_at_time_of_operation ∧ 1.36 < Number_of_positive_axillary_nodes_detected
Rule 3 with 2.01 for class 1 with likelihood 64.33%: 44.14 < Age_of_patient_at_time_of_operation ∧ 1.75 < Number_of_positive_axillary_nodes_detected
Rule 8 with 1.73 for class 1 with likelihood 79.96%: Age_of_patient_at_time_of_operation < 73.87 ∧ Number_of_positive_axillary_nodes_detected < 46.94
Rule 1 with 1.55 for class 1 with likelihood 66.49%: 43.10 < Age_of_patient_at_time_of_operation ∧ 3.75 < Number_of_positive_axillary_nodes_detected
Rule 5 with 1.20 for class 1 with likelihood 77.44%: Age_of_patient_at_time_of_operation < 76.11 ∧ Number_of_positive_axillary_nodes_detected < 46.04
Rule 7 with 1.20 for class 1 with likelihood 80.32%: Age_of_patient_at_time_of_operation < 75.76 ∧ Number_of_positive_axillary_nodes_detected < 46.13
Rule 9 with 1.19 for class 1 with likelihood 77.98%: Age_of_patient_at_time_of_operation < 76.37 ∧ Number_of_positive_axillary_nodes_detected < 45.80
Rule 6 with 1.16 for class 1 with likelihood 76.82%: Age_of_patient_at_time_of_operation < 78.00 ∧ Number_of_positive_axillary_nodes_detected < 46.05
Rule 2 with 1.00 for class 1 with likelihood 76.41%: 44.08 < Age_of_patient_at_time_of_operation ∧ 4.07 < Number_of_positive_axillary_nodes_detected
