APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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K-Means Clustering
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Linear Regression
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Data Analysis
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Performance Metrics
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Detailed explanation-1: -Confusion Matrix is a simple technique used to evaluate a machine learning algorithm for a given set of data.
Detailed explanation-2: -Precision and Recall are the three main metrics used to evaluate models of classification. In cases the data is uneven, precision and recall are more useful. If those metrics are combined, the f-score is evaluated. A greater F-score is always preferred in case of the same number of independent variables in the model.
Detailed explanation-3: -The two main measures for the efficiency of an algorithm are time complexity and space complexity, but they cannot be compared directly. So, time and space complexity is considered for algorithmic efficiency.
Detailed explanation-4: -Confusion matrix. Accuracy. Precision. Recall. Specificity. F1 score. Precision-Recall or PR curve. ROC (Receiver Operating Characteristics) curve. More items •29-Dec-2018