Relaxed Naïve Bayes Data
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'    NaiveBayes_R.xlsx: This Excel file includes information as to how probabilities of observed features are calculated given recidivism (P(x_ij│R)) in the training data. Each cell is embedded with an Excel function to render appropriate figures.                    P(Xi|R): This tab contains probabilities of feature attributes among recidivated offenders.            NIJ_Recoded: This tab contains re-coded NIJ recidivism challenge data following our coding schema described in Table 1.            Recidivated_Train: This tab contains re-coded features of recidivated offenders.            Tabs from [Gender] through [Condition_Other]: Each tab contains probabilities of feature attributes given recidivism. We use these conditional probabilities to replace the ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Relaxed Naïve Bayes"]} <|eot_id|>
 Here is the Description of a dataset. Description:'    NaiveBayes_R.xlsx: This Excel file includes information as to how probabilities of observed features are calculated given recidivism (P(x_ij│R)) in the training data. Each cell is embedded with an Excel function to render appropriate figures.                    P(Xi|R): This tab contains probabilities of feature attributes among recidivated offenders.            NIJ_Recoded: This tab contains re-coded NIJ recidivism challenge data following our coding schema described in Table 1.            Recidivated_Train: This tab contains re-coded features of recidivated offenders.            Tabs from [Gender] through [Condition_Other]: Each tab contains probabilities of feature attributes given recidivism. We use these conditional probabilities to replace the ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
    NaiveBayes_R.xlsx: This Excel file includes information as to how probabilities of observed features are calculated given recidivism (P(x_ij│R)) in the training data. Each cell is embedded with an Excel function to render appropriate figures.                    P(Xi|R): This tab contains probabilities of feature attributes among recidivated offenders.            NIJ_Recoded: This tab contains re-coded NIJ recidivism challenge data following our coding schema described in Table 1.            Recidivated_Train: This tab contains re-coded features of recidivated offenders.            Tabs from [Gender] through [Condition_Other]: Each tab contains probabilities of feature attributes given recidivism. We use these conditional probabilities to replace the 
Relaxed Naïve Bayes