--- dataset_info: features: - name: age dtype: float32 - name: job dtype: class_label: names: '0': admin. '1': blue-collar '2': entrepreneur '3': housemaid '4': management '5': retired '6': self-employed '7': services '8': student '9': technician '10': unemployed '11': unknown - name: marital dtype: class_label: names: '0': divorced '1': married '2': single '3': unknown - name: education dtype: class_label: names: '0': primary '1': secondary '2': tertiary '3': unknown '4': basic.4y '5': basic.6y '6': basic.9y '7': high.school '8': illiterate '9': professional.course '10': university.degree - name: default dtype: class_label: names: '0': 'no' '1': 'yes' '2': unknown - name: balance dtype: float32 - name: housing dtype: class_label: names: '0': 'no' '1': 'yes' '2': unknown - name: loan dtype: class_label: names: '0': 'no' '1': 'yes' '2': unknown - name: contact dtype: class_label: names: '0': cellular '1': telephone '2': unknown - name: day dtype: float32 - name: month dtype: class_label: names: '0': jan '1': feb '2': mar '3': apr '4': may '5': jun '6': jul '7': aug '8': sep '9': oct '10': nov '11': dec - name: duration dtype: float32 - name: campaign dtype: float32 - name: pdays dtype: float32 - name: previous dtype: float32 - name: poutcome dtype: class_label: names: '0': failure '1': other '2': success '3': unknown '4': nonexistent - name: y dtype: class_label: names: '0': 'no' '1': 'yes' splits: - name: train num_bytes: 4882788 num_examples: 45211 download_size: 752410 dataset_size: 4882788 configs: - config_name: default data_files: - split: train path: data/train-* ---