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A wide range of classification methods have been used for the early detection of financial risks in recent years.
Multi-layer Perceptron (MLP) with back-propagation learning can solve a wide range of classification and estimation problems.
The new expression is compared with some existing classification models with respect to their predictive value for a wide range of classification data.
The proposed system was assessed on our database of 112 DCE-MRI studies including solid breast masses, using a wide range of classification measures.
Geometric AICs have been successfully used in a wide range of classification schemes involving non-disjoint models [32, 33].
We observed a wide range of classification accuracy i.e, 49 97% on different classifiers using various feature selection methods on Lymphoma dataset.
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A wider range of classifications allowed for more precise estimates using our statistical model described below because it improved the within group homogeneity of subjects within each BMI classification.
Using a LSTM network has been demonstrated to be effective for a wide range of text classification tasks, including sentiment, and can outperform traditional learners such as SVM [10].
Since the industry covers such a wide range of industrial classifications, an analysis at the four-digit SIC level is insufficient.
Such heterogeneity is reflected by the wide range of sub-classifications (diagnostic markers) and risk-stratifications (prognostic markers) existing for many cancer types, as well as by the increasing number of molecules able to forecast the response of patients to personalized therapies (predictive markers) [15].
Random Forest is widely used across a wide range of fields for classification and regression, and its bias and error characteristics are well understood [23, 24].
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