ClassMetrics¶

class oci.ai_language.models.ClassMetrics(**kwargs)¶

Bases: object

class level Text Classification model metrics

Methods

__init__(**kwargs) Initializes a new ClassMetrics object with values from keyword arguments.

Attributes

`f1`	[Required] Gets the f1 of this ClassMetrics.
`label`	[Required] Gets the label of this ClassMetrics.
`precision`	[Required] Gets the precision of this ClassMetrics.
`recall`	[Required] Gets the recall of this ClassMetrics.
`support`	Gets the support of this ClassMetrics.

__init__(**kwargs)¶

Initializes a new ClassMetrics object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class):

Parameters:

label (str) – The value to assign to the label property of this ClassMetrics.
f1 (float) – The value to assign to the f1 property of this ClassMetrics.
precision (float) – The value to assign to the precision property of this ClassMetrics.
recall (float) – The value to assign to the recall property of this ClassMetrics.
support (float) – The value to assign to the support property of this ClassMetrics.

f1¶

[Required] Gets the f1 of this ClassMetrics. F1-score, is a measure of a model’s accuracy on a dataset

Returns:	The f1 of this ClassMetrics.
Return type:	float

label¶

[Required] Gets the label of this ClassMetrics. Text classification label

Returns:	The label of this ClassMetrics.
Return type:	str

precision¶

[Required] Gets the precision of this ClassMetrics. Precision refers to the number of true positives divided by the total number of positive predictions (i.e., the number of true positives plus the number of false positives)

Returns:	The precision of this ClassMetrics.
Return type:	float

recall¶

[Required] Gets the recall of this ClassMetrics. Measures the model’s ability to predict actual positive classes. It is the ratio between the predicted true positives and what was actually tagged. The recall metric reveals how many of the predicted classes are correct.

Returns:	The recall of this ClassMetrics.
Return type:	float

support¶

Gets the support of this ClassMetrics. number of samples in the test set

Returns:	The support of this ClassMetrics.
Return type:	float