getml.pipeline.scores¶
Signifies different scoring methods
Variables¶
Accuracy - measures the share of accurate predictions as of total samples in the testing set. |
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Area under the curve - refers to the area under the receiver operating characteristic (ROC) curve. |
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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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- squared correlation coeefficient between predictions and targets. |