{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003186708,0.0001159977,0.000196295,0.0006833274,0.001084603,0.0001952062,0.0002490982,0.00005463354,0.0001510118],"category_scores_gemma":[0.0007868568,0.0001241766,0.00005746646,0.001333676,0.0001623347,0.002745637,0.0002400983,0.0001032115,0.000001973902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003562835,"about_ca_system_score_gemma":0.000214208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003038147,"about_ca_topic_score_gemma":0.00002425423,"domain_scores_codex":[0.9980042,0.000360772,0.0005038833,0.0001805014,0.0007457014,0.0002049211],"domain_scores_gemma":[0.9987763,0.0003534709,0.0004025699,0.0002227203,0.0001780393,0.00006690122],"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":[0.0004186307,0.00005772458,0.03480384,0.00006850278,0.0001895746,0.00000334105,0.01372016,0.01375637,0.00004453838,0.0001120893,0.0003152387,0.93651],"study_design_scores_gemma":[0.0006708868,0.00007342285,0.07698946,0.0001278024,0.0002351553,0.00000258935,0.04006169,0.879251,0.00005375159,0.0004246035,0.001853712,0.0002559053],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7325372,0.00006566852,0.2159511,0.00001980931,0.0004676915,0.0004571138,0.0004204231,0.0001249093,0.04995612],"genre_scores_gemma":[0.9861994,0.00001504936,0.01324042,0.00004148655,0.00004525885,0.00001831365,0.0004137474,0.000006696864,0.00001966791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9362541,"threshold_uncertainty_score":0.8341997,"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."}}