Kinases are among the most crucial proteins within a cell, involved in various processes such as cell survival, signaling, and proliferation. Alongside GPCRs, they represent one of the largest protein target families . The development of selective kinase inhibitors is particularly challenging due to the structural similarities between different kinases. Manning et al. have categorized them into over 508 distinct groups . One of the primary reasons for striving towards kinase selectivity is the risk of off-target effects, as exemplified by Imatinib's impact on opening up new avenues for discovering selective kinase inhibitors . Molecular Fingerprints are a valuable source of information that captures the presence or absence of specific features within compounds. Examples include MACCS fingerprints, which involve the mathematical representation of functional groups , and Morgan fingerprints (also known as ECFP2), which involve creating an environment around atoms to produce either 1024-bit or 2048-bit representations . To evaluate such models, several metrics have been developed. For instance, accuracy is a straightforward metric that represents the number of correct predictions made by a model. Other metrics commonly used in binary classification scenarios include specificity, sensitivity, and the Area Under the Curve (AUC) .