--- dataset_info: features: - name: Administrative dtype: int64 - name: Administrative_Duration dtype: float64 - name: Informational dtype: int64 - name: Informational_Duration dtype: float64 - name: ProductRelated dtype: int64 - name: ProductRelated_Duration dtype: float64 - name: BounceRates dtype: float64 - name: ExitRates dtype: float64 - name: PageValues dtype: float64 - name: SpecialDay dtype: float64 - name: Month dtype: string - name: OperatingSystems dtype: int64 - name: Browser dtype: int64 - name: Region dtype: int64 - name: TrafficType dtype: int64 - name: VisitorType dtype: string - name: Weekend dtype: bool - name: Revenue dtype: class_label: names: '0': 'False' '1': 'True' splits: - name: train num_bytes: 1815486 num_examples: 12330 download_size: 425014 dataset_size: 1815486 license: cc-by-4.0 task_categories: - tabular-classification language: - en pretty_name: Online Shoppers Purchasing Intention Dataset size_categories: - 10K **NOTE:** The information below is from the original dataset description from UCI's website. > > ### Overview > > Of the 12,330 sessions in the dataset, 84.5% (10,422) were negative class samples that did not end with shopping, > and the rest (1908) were positive class samples ending with shopping. > > #### Additional Information > > The dataset consists of feature vectors belonging to 12,330 sessions. The dataset was formed so that > each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, > special day, user profile, or period.