{"id":"W4296817092","doi":"10.18280/isi.270409","title":"Prediction of Bank Customer Potential Using Creative Marketing Based on Exploratory Data Analysis and Decision Tree Algorithm","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marketing; Decision tree; Marketing research; Computer science; Digital marketing; Marketing strategy; Algorithm; Marketing management; Python (programming language); Process (computing); Machine learning; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002308706,0.001053413,0.0007372926,0.004975872,0.0004940769,0.001882146,0.0007938097,0.0007109704,0.002583421],"category_scores_gemma":[0.006329666,0.0002481717,0.001441241,0.002948691,0.0002691757,0.001240991,0.0006302255,0.000838523,0.001168321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007422598,"about_ca_system_score_gemma":0.0009306556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004342506,"about_ca_topic_score_gemma":0.004685862,"domain_scores_codex":[0.9989551,0.0003104718,0.0001361566,0.000184268,0.0002811062,0.0001328291],"domain_scores_gemma":[0.9946737,0.003403218,0.0003430755,0.0002285715,0.00115602,0.0001955624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001488198,0.002885552,0.3292971,0.0006835249,0.0004138772,0.0007177329,0.0008714049,0.119045,0.004808353,0.003741436,0.0229203,0.5131276],"study_design_scores_gemma":[0.00004450755,0.0002864341,0.03551904,0.00006888903,0.00006833964,0.0001551605,0.0004470061,0.9564151,0.00230851,0.002443478,0.002200936,0.00004244806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8854197,0.0004891317,0.09503184,0.0007937595,0.0001076854,0.0009091502,0.008398772,0.001696999,0.007153059],"genre_scores_gemma":[0.8984554,0.000244917,0.09054277,0.00007261093,0.00004138867,0.0005821674,0.007961068,0.00004650663,0.002053219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004975872,"threshold_uncertainty_score":0.01220977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03444926925105769,"score_gpt":0.2672369183277817,"score_spread":0.232787649076724,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}