Risk Prediction Models and Machine Learning Algorithms
Consumer Credit Risk Models via Machine-Learning Algorithms
... credit risk that combines tra- ditional credit factors such as debt-to-income ratios with consumer banking transactions, which greatly enhances the predictive power of our ...credit-default models such as ...
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Prediction of Arrhythmia with Machine Learning Algorithms
... patients with arrhythmia. Choosing k = 5 and Distance Metrics: Euclidean and Minkowski, the accuracy rate was 94.72%. V. C ONCLUSIONS Age, sex and diabetes mellitus history values of the patients were used in the ...
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Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis
... Information and Communication Technologies (ICT) can play potential roles in cancer care. In fact, Big data has advanced not only the size of data but also creating value from it; Big data, that becomes a synonymous of ...
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Machine Learning Algorithms for Oil Price Prediction
... Some machine learning models fits the dataset efficiently depending upon the type of datapoints ...different models that efficiently fit the datapoints and predict the price of fuel with the ...
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Airline delay prediction by machine learning algorithms
... Abstract. Flight planning, as one of the challenging issues in the industrial world, is faced with many uncertain conditions. One such condition is delay occurrence, which stems from various factors and imposes ...
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Use of machine learning algorithms for prediction of fetal risk using cardiotocographic data
... of machine learning algorithm techniques on CTG data in identifying high‑risk ...Irvine Machine Learning Repository. Ten different machine learning classification ...
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Plant Disease Prediction using Machine Learning Algorithms
... ABSTRACT Machine learning is the one of the branch in Artificial Intelligence to work automatically or give the instructions to a particular system to perform a ...of machine Learning is to ...
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Prediction of Stock Market using Machine Learning Algorithms
... This method of choosing enhancing gathering of regression-coefficient enhances predicting accuracy to 74% which is quite high. The approach so proposed is very low in unpredictability and straight forward or figure it ...
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Loan Repayment Prediction Using Machine Learning Algorithms
... CHAPTER 4 Enhancement and Conclusion 4.1 Future enhancement In this study, there are several enhancements that we could make in the future. For example, outlier problem is not considered in the exploratory data analysis. ...
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Using Machine Learning Algorithms on Prediction of Stock Price
... 3. Model and methodology 3.1 Support Vector Machines (SVM) Support vector machines (SVM) were initially proposed as a classification method (e.g., [9]), which uses a hyperplane (linear surface) as a boundary between the ...
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Prediction of Heart Disease Using Machine Learning Algorithms
... on Prediction of Heart Disease using classification data mining ...for prediction of risk in the medical domain of heart disease medicine is proposed ...classification models which can ...
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Electricity price prediction: a comparison of machine learning algorithms
... 2.4. Related work 33 other researchers have on similar prediction problems. Another report published in Electrical Power and Energy Systems in 2008 deals with day ahead forecasting using a mixed data model[2]. ...
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Selecting Machine Learning Algorithms using Regression Models
... ∙ Select a best regression model and predict algorithm performance on unknown dataset. ∙ Generate a ranked list of machine learning algorithms. To create meta-data, each original dataset is used to ...
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Prediction of Rainfall Induced Landslides using Machine Learning Algorithms
... Abstract: Landslide is one of the major natural hazards which is experienced all over the world and causes huge losses to land and property. Most of the landslides are generally caused by multiple factors which act ...
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Prediction of Heart Diseases In Comparison With Different Machine Learning Algorithms
... the prediction for the one of a kind troubles like prediction of sicknesses in leafs, and sensible device may be evolved that could lead to choice of right remedy strategies for a patient who is laid low ...
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Comparing different supervised machine learning algorithms for disease prediction
... supervised machine learning algorithms to make a comparison among them for disease ...the algorithms con- sidered in this ...supervised machine learning ...same machine ...
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Efficient Crop Yield Prediction using Machine Learning Algorithms
... Vector machine, Data Analytics, Agriculture ...crop prediction based on the historic climatic and production ...several models exist like as- Principal component regression, Partial least squares, ...
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A Comparative Study of Supervised Machine Learning Algorithms for Fruit Prediction
... paper, machine learning techniques have been applied for the fruit image classification and prediction over a large ...five models have been developed and their performances are compared in ...
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Survey Paper On Stock Prediction Using Machine Learning Algorithms
... predictive models which are built using the random forests algorithm. The models are built on the historical data of the CROBEX index and on a hardly any companies listed at the Zagreb Stock Exchange from ...
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Price Prediction of Selected Cryptocurrencies Using Machine Learning Algorithms
... of prediction cryptocurrencies with machine learning algorithms was heavily inspired by the increasingly better per- forming neural network ...comprehend machine learning ...
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