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| import type { TaskDataCustom } from "../Types"; | |
| const taskData: TaskDataCustom = { | |
| datasets: [ | |
| { | |
| description: "A comprehensive curation of datasets covering all benchmarks.", | |
| id: "inria-soda/tabular-benchmark", | |
| }, | |
| ], | |
| demo: { | |
| inputs: [ | |
| { | |
| table: [ | |
| ["Glucose", "Blood Pressure ", "Skin Thickness", "Insulin", "BMI"], | |
| ["148", "72", "35", "0", "33.6"], | |
| ["150", "50", "30", "0", "35.1"], | |
| ["141", "60", "29", "1", "39.2"], | |
| ], | |
| type: "tabular", | |
| }, | |
| ], | |
| outputs: [ | |
| { | |
| table: [["Diabetes"], ["1"], ["1"], ["0"]], | |
| type: "tabular", | |
| }, | |
| ], | |
| }, | |
| metrics: [ | |
| { | |
| description: "", | |
| id: "accuracy", | |
| }, | |
| { | |
| description: "", | |
| id: "recall", | |
| }, | |
| { | |
| description: "", | |
| id: "precision", | |
| }, | |
| { | |
| description: "", | |
| id: "f1", | |
| }, | |
| ], | |
| models: [ | |
| { | |
| description: "Breast cancer prediction model based on decision trees.", | |
| id: "scikit-learn/cancer-prediction-trees", | |
| }, | |
| ], | |
| spaces: [ | |
| { | |
| description: "An application that can predict defective products on a production line.", | |
| id: "scikit-learn/tabular-playground", | |
| }, | |
| { | |
| description: "An application that compares various tabular classification techniques on different datasets.", | |
| id: "scikit-learn/classification", | |
| }, | |
| ], | |
| summary: "Tabular classification is the task of classifying a target category (a group) based on set of attributes.", | |
| widgetModels: ["scikit-learn/tabular-playground"], | |
| youtubeId: "", | |
| }; | |
| export default taskData; | |