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NEW QUESTION: 1
You are a data scientist creating a linear regression model.
You need to determine how closely the data fits the regression line.
Which metric should you review?
A. Coefficient of determination
B. Mean absolute error
C. Root Mean Square Error
D. Recall
E. Precision
Answer: A
Explanation:
Coefficient of determination, often referred to as R2, represents the predictive power of the model as a value between 0 and 1. Zero means the model is random (explains nothing); 1 means there is a perfect fit. However, caution should be used in interpreting R2 values, as low values can be entirely normal and high values can be suspect.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
NEW QUESTION: 2
Sie müssen die Instrumentierungsfunktionen von Application Insights mithilfe des Azure Mobile Apps SDK implementieren, um eine aussagekräftige Analyse der Benutzerinteraktionen mit einer mobilen App zu ermöglichen.
Sie müssen die Daten erfassen, die für die Implementierung der Usage Analytics-Funktion von Application Insights erforderlich sind.
Welche drei Datenwerte sollten Sie erfassen? Jede richtige Antwort stellt einen Teil der Lösung dar. HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
A. Ausnahme
B. Benutzer-ID
C. Ereignisse
D. Sitzungs-ID
E. Trace
Answer: B,C,E
Explanation:
Erläuterung
Application Insights ist ein Dienst zur Überwachung der Leistung und Nutzung Ihrer Apps. Mit diesem Modul können Sie Telemetrie verschiedener Art (Ereignisse, Traces usw.) an den Application Insights-Dienst senden, um Ihre Daten im Azure-Portal anzuzeigen.
Application Insights verwaltet die ID einer Sitzung für Sie.
Verweise:
https://github.com/microsoft/ApplicationInsights-Android
NEW QUESTION: 3
A. Option B
B. Option C
C. Option A
D. Option D
Answer: D