Based on the examination of both files, the following issues can be identified related to "missing information" according to the given hint:

1. **Issue with Missing Attribute Descriptions in Datacard:**

```json
{
    "issue": "Missing attribute descriptions in datacard",
    "evidence": "## About Dataset\n\n310 Observations, 13 Attributes (12 Numeric Predictors, 1 Binary Class Attribute - No Demographics)",
    "description": "The datacard briefly mentions the dataset having 13 attributes but does not provide any detailed description of each attribute. For data integrity and transparency, it's crucial to have detailed descriptions of each attribute to understand what each column represents. Lack of attribute descriptions may lead to misinterpretation of the dataset."
}
```

2. **Issue with Unnamed Column in Dataset:**

```json
{
    "issue": "Unnamed column with miscellaneous information",
    "evidence": "\"Unnamed: 13\"",
    "description": "The dataset contains an 'Unnamed: 13' column which seems to contain miscellaneous or irrelevant information, including null values and a textual description about prediction using binary classification in one row. This column lacks a clear purpose or description, potentially causing confusion for users of the dataset. It could be considered as missing information regarding the meaningfulness and use of this column."
}
```

By addressing these issues, we can enhance the clarity, usability, and integrity of the dataset and its accompanying documentation.