metricsΒΆ
Signifies different scoring methods.
Attributes
Area under the curve - refers to the area under the receiver operating characteristic (ROC) curve. |
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Accuracy - measures the share of accurate predictions as of total samples in the testing set. |
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Cross entropy, also referred to as log-loss, is a measure of the likelihood of the classification model. |
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Mean Absolute Error - measure of distance between two numerical targets. |
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Root Mean Squared Error - measure of distance between two numerical targets. |
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\(R^{2}\) - squared correlation coeefficient between predictions and targets. |