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For herbal and modern drug research, secondary metabolites produced by plants are a valuable source of pharmaceutically active compounds. Northern Nigeria relies heavily on plants as a source of medication. Succulent perennial herb Bryophyllum pinnatum is endemic to Africa and Asia. The current study investigates the in vitro pharmacological potential of the B. pinnatum with the use of predictive data intelligence algorithms to unveil the inhibitory properties of the plant. In vitro biological evaluation of B. pinnatum was carried out. This study explored the utilization of four different data intelligence models composing of two linear models; multi-linear regression (MLR) and step-wise linear regression (SWLR) as well two other nonlinear artificial intelligence (AI)-based models; adaptive neuro-fuzzy inference system (ANFIS) and support vector machine (SVM). Subsequently, four ensemble machine learning …