rriganed.broceliande.1.1.source-code.logback.xml Maven / Gradle / Ivy

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This project provides a Java implementation of random forests. Random forests use training sets to build decision trees. Given an input (e.g. a person with age, gender, medical background, symptoms) the result (e.g. a disease) of which is unknown, random forests are able to predict the corresponding result.

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<configuration>
    <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
        <encoder>
            <pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{5} - %msg%n</pattern>
        </encoder>
    </appender>

    <root level="DEBUG">
        <appender-ref ref="STDOUT" />
    </root>
</configuration>