mai-ml-5-sem
Verified Safeby oryce
Overview
Building and training a decision tree model for binary classification tasks, handling both real and categorical features.
Installation
No command providedSecurity Notes
The code primarily implements a decision tree algorithm using standard Python libraries (numpy, collections). There are no indicators of network operations, file system access beyond typical module loading, use of `eval` or `exec`, hardcoded credentials, or other patterns commonly associated with severe security vulnerabilities. The `feature_types` input is validated. The risk is primarily related to the input data provided to the model, which is outside the scope of this code's direct control.
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