Step 1. Upload or Select a Dataset
Dataset Preview
This is a 15-Row sample of your selected dataset.
There are total records in the dataset.
There are total records in the dataset.
Step 2. Choose Parameters for Classification
Select Your Features: (?)
Select Your Labels (?)
Select Your Transformation Classifier (?)
Select parameters for the DTree base classifier & the k-fold cross-validation method (?)
Step 3. Model Evaluation Results
Calculations of Selected Parameters (?)
Model's Parameters | |||
---|---|---|---|
Classifier | Max Depth | Min Samples Leaf | K |
Calculations of Metrics For Each Label (?)
Calculations of Avg Metrics (?)
Average Metrics | ||||
---|---|---|---|---|
Hamming Loss | Accuracy | Precision | Recall | F-Score |
Step 4. Save Your Created Model