We found some data slices in your dataset on which your model performance is lower than average. Performance bias may happen for different reasons:
To learn more about causes and solutions, check our guide on performance bias.
`text` contains "said"
|
Precision = 0.737 (Global = 0.917) | -19.67% than global |
205 samples affected (9.1% of dataset) | Show details Hide details |
`text` contains "period"
|
Precision = 0.821 (Global = 0.917) | -10.49% than global |
173 samples affected (7.6% of dataset) | Show details Hide details |
`text` contains "finland"
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Balanced Accuracy = 0.810 (Global = 0.886) | -8.58% than global |
133 samples affected (5.9% of dataset) | Show details Hide details |
`text` contains "year"
|
Precision = 0.862 (Global = 0.917) | -6.02% than global |
217 samples affected (9.6% of dataset) | Show details Hide details |
`text` contains "eur"
|
Precision = 0.865 (Global = 0.917) | -5.68% than global |
444 samples affected (19.6% of dataset) | Show details Hide details |
`text` contains "quarter"
|
Precision = 0.866 (Global = 0.917) | -5.57% than global |
164 samples affected (7.2% of dataset) | Show details Hide details |
`text_length(text)` >= 122.500 AND `text_length(text)` < 133.500
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Balanced Accuracy = 0.839 (Global = 0.886) | -5.28% than global |
148 samples affected (6.5% of dataset) | Show details Hide details |
Install the Giskard hub app to:
You can find installation instructions here.
from giskard import GiskardClient
# Create a test suite from your scan results
test_suite = results.generate_test_suite("My first test suite")
# Upload your test suite to your Giskard hub instance
client = GiskardClient("http://localhost:19000", "GISKARD_API_KEY")
client.create_project("my_project_id", "my_project_name")
test_suite.upload(client, "my_project_id")