rowId integer. Row id from prediction dataset.
prediction numeric. The output of the model for this row (numeric prediction for
regression problem, predicted class for classification problem).
class1Label character. Label of class 0. Available only for classification
problem.
class1Probability numeric. Predicted probability of class 0. Available only for
classification problem.
class2Label character. Label of class 1. Available only for classification
problem.
class2Probability numeric. Predicted probability of class 1. Available only for
classification problem.
explanation1FeatureName character. The name of the feature contributing to the
prediction.
explanation1FeatureValue character. the value the feature took on for this row.
explanation1QualitativeStrength numeric. How strongly the feature affected the
prediction.
explanation1Strength character. A human-readable description of how strongly the
feature affected the prediction (e.g. '+++', '--', '+').
explanation1Label character. Describes what output was driven by this prediction
explanation.
For regression projects, it is the name of the target feature. For classification projects,
it is the class whose probability increasing would correspond to a positive strength of this.
explanationNFeatureName character. The name of the feature contributing to the
prediction.
explanationNFeatureValue character. The value the feature took on for this row.
explanationNQualitativeStrength numeric. How strongly the feature affected the
prediction.
explanationNStrength character. A human-readable description of how strongly the
feature affected the prediction (e.g. '+++', '--', '+').
explanationNLabel character. Describes what output was driven by this prediction
explanation.
For regression projects, it is the name of the target feature. For classification projects,
it is the class whose probability increasing would correspond to a positive strength of this.
explanationNFeatureName. Character string the name of the feature contributing to the
prediction.