10+ Intelligent Medical Billing Solutions Interview Questions and Answers

Measures to check performance of classification model

• Accuracy

• Precision

• Recall

• F1 Score

• ROC Curve

• Confusion Matrix

Multicollinearity in regression analysis affects the accuracy and interpretability of the model.

• Multicollinearity occurs when two or more independent variables are highly correlated.

• It leads to unstable and unreliable estimates of regression coefficients.

• It reduces the precision of the estimates and increases the standard errors.

• It makes it difficult to interpret the individual effects of the independent variables.

• It can be detected using correlation matrix, variance inflatio...read more

Isolation Forest is an anomaly detection algorithm that works by isolating outliers in a dataset.

• Isolation Forest is an unsupervised machine learning algorithm used for anomaly detection.

• It works by randomly selecting a feature and then randomly selecting a split value between the maximum and minimum values of the selected feature.

• The number of splits required to isolate an outlier is used as a measure of its abnormality.

• Evaluation metrics for Isolation Forest in layman's ter...read more

Logistic regression assumes linear relationship between independent and dependent variables.

• May not perform well with non-linear data

• May overfit or underfit the data

• May be sensitive to outliers

• May require large sample size for stable results

Data Warehouse stores structured data for reporting and analysis, Data Lakes store raw and unstructured data, Tables are basic data structures.

• Data Warehouse is used for storing structured data from various sources for reporting and analysis.

• Data Lakes store raw and unstructured data in its native format for future processing and analysis.

• Tables are basic data structures used to organize and store data in a structured format.

• Examples: Data Warehouse - Amazon Redshift, Data La...read more

Group by is used to group rows that have the same values into summary rows, while Partition by is used to divide the result set into partitions to which the function is applied separately.

• Group by is used with aggregate functions to group rows based on a column or set of columns.

• Partition by is used with window functions to divide the result set into partitions.

• Group by is used with SELECT statement, while Partition by is used within the OVER() clause in a window function.

• Exa...read more