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| Kategori | Machine Learning |
| Harga | FREE Deskripsi: Boston House Price Dataset digunakan untuk analisis prediksi harga rumah (dalam ribuan dolar) dengan data detail rumah dan l... |
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Deskripsi:
Boston House Price Dataset digunakan untuk analisis prediksi harga rumah (dalam ribuan dolar) dengan data detail rumah dan lingkungannya.
Ini adalah masalah regresi. Ada 506 pengamatan dengan 13 variabel input dan 1 variabel output. Nama-nama variabel adalah sebagai berikut:
- CRIM: per capita crime rate by town.
- ZN: proportion of residential land zoned for lots over 25,000 sq.ft.
- INDUS: proportion of nonretail business acres per town.
- CHAS: Charles River dummy variable (= 1 if tract bounds river; 0 otherwise).
- NOX: nitric oxides concentration (parts per 10 million).
- RM: average number of rooms per dwelling.
- AGE: proportion of owner-occupied units built prior to 1940.
- DIS: weighted distances to five Boston employment centers.
- RAD: index of accessibility to radial highways.
- TAX: full-value property-tax rate per $10,000.
- PTRATIO: pupil-teacher ratio by town.
- B: 1000(Bk – 0.63)^2 where Bk is the proportion of blacks by town.
- LSTAT: % lower status of the population.
- MEDV: Median value of owner-occupied homes in $1000s.
Jumlah row data: 506 baris
Type data: CSV
Download: Click
