Rasa::HTTP::EvaluationItem Properties Name Type Description Notes report Object Sklearn classification report, see https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html [optional] accuracy Float [optional] f1_score Float [optional] precision Float [optional] predictions Array<EvaluationItemPredictionsInner> The predictions for each item in the test set [optional] errors Array<EvaluationItemErrorsInner> The errors which were made during the testing. [optional] Example require 'rasa-http-api' instance = Rasa::HTTP::EvaluationItem.new( report: {"greet":{"precision":0.123,"recall":0.456,"f1-score":0.12,"support":100,"confused_with":{"chitchat":3,"nlu_fallback":5}},"micro avg":{"precision":0.123,"recall":0.456,"f1-score":0.12,"support":100},"macro avg":{"precision":0.123,"recall":0.456,"f1-score":0.12,"support":100},"weightedq avg":{"precision":0.123,"recall":0.456,"f1-score":0.12,"support":100}}, accuracy: 0.19047619047619047, f1_score: 0.06095238095238095, precision: 0.036281179138321996, predictions: null, errors: null )