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International Accounting Standard 37: Provisions, Contingent Liabilities and Contingent Assets, or IAS 37, is an international financial reporting standard adopted by the International Accounting Standards Board (IASB). It sets out the accounting and disclosure requirements for provisions, contingent liabilities and contingent assets, with ...
A decision tree is a flowchart -like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes). The paths from root to leaf represent ...
e. International Financial Reporting Standards, commonly called IFRS, are accounting standards issued by the IFRS Foundation and the International Accounting Standards Board (IASB). [ 1 ] They constitute a standardised way of describing the company's financial performance and position so that company financial statements are understandable and ...
t. e. Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable can take a discrete set of values are called ...
Values of attributes are represented by branches. In decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan [1] used to generate a decision tree from a dataset. ID3 is the precursor to the C4.5 algorithm, and is typically used in the machine learning and natural language processing domains.
Decision Tree Model. In computational complexity the decision tree model is the model of computation in which an algorithm is considered to be basically a decision tree, i.e., a sequence of queries or tests that are done adaptively, so the outcome of previous tests can influence the tests performed next. Typically, these tests have a small ...
Decision tree pruning. Pruning is a data compression technique in machine learning and search algorithms that reduces the size of decision trees by removing sections of the tree that are non-critical and redundant to classify instances. Pruning reduces the complexity of the final classifier, and hence improves predictive accuracy by the ...
Statement of Changes in Financial Position (1977) Cash Flow Statements (1992) Statement of Cash Flows (2007) 1977. January 1, 1979. IAS 8. Unusual and Prior Period Items and Changes in Accounting Policies (1978) Net Profit or Loss for the Period, Fundamental Errors and Changes in Accounting Policies (1993)