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A Machine Learning Approach to Predict Loan Default.
... the loan, and ...the loan. If the loan is accepted, Lending Club determines the grade of the loan which assigns the interest rate and fees that must be paid to Lending ...the loan ... See full document
85
Dependency Parsing by Inference over High recall Dependency Predictions
... two learning-based ap- proaches, we first describe a number of baselines, which provide simple reference scores giving some sense of the difficulty of each ...two machine learning systems: 1) an ap- ... See full document
5
A machine learning approach to predict perceptual decisions: an insight into face pareidolia
... could predict perceptual outcome in face pareidolia (visualizing face in noise images) on a trial-by-trial ...a machine learning classifier, we demonstrated that prestimulus brain activities could ... See full document
16
Proposing a Machine Learning Approach to Analyze and Predict Employment and its Factors
... T HE concept of employability has steadily gained importance in recent years, becoming one of the pillars of the European educational strategy within the European Higher Education Area (EHEA) framework. However, the ... See full document
7
Predictive Migration for Application High Availability
... vector machine approach to predict failure events based on system log ...standard machine learning techniques such as Bayes networks, Hidden Markov Models (HMM), and Partially ... See full document
8
Characterising particulate random media from near-surface backscattering: A machine learning approach to predict particle size and concentration
... a machine learning approach that both the particle radius and concentration can be accurately measured when the boundary condition on the particles is of Dirichlet ...supervised machine ... See full document
8
Machine Learning With Factor Scoring To Predict Diabetes Risk Level In Bangladesh
... where machine learning and data analysis applied to predict the diabetes risk level or used different machine learning approaches for classifying diabetes dataset by using different ... See full document
5
Analysing social attributes of loan default among small Indian Dairy farms: A discriminating approach
... The percentage of cases classified correctly is an indicator of the productive power of fitted discriminant function, while evaluating this measure, it is important to consider the observed mis-classification rate to ... See full document
6
Predicting Psychology Attributes of a Social Network User
... Abstract. Nowadays, the number of people using social network site increases every day. The social networking sites, such as Facebook or Twitter, are sources of human interaction, where users are allowed to create and ... See full document
8
P2P net loan default risk based on Spark and complex network analysis based on wireless network element data environment
... inductive learning for a large number of ac- tual ...supervised learning method, a tree structure classification rule is obtained in these data which are not related to each other and have no distri- bution ... See full document
7
Machine Learning Approaches to Predict Default of Credit Card Clients
... complex machine learning problems. On the other hand, other machine learning models such as linear regression or Support Vector Machine (SVM) [1] can solve simpler problems more ... See full document
11
<p>Reducing Opioid Prescriptions by Identifying Responders on Topical Analgesic Treatment Using an Individualized Medicine and Predictive Analytics Approach</p>
... of machine learning methods to train predictive models and this speci fi c category of algorithms is dif fi cult to interpret and understand because of their complex and non-linear ...explainable ... See full document
12
MACHINE LEARNING APPLICATION IN LOAN DEFAULT PREDICTION
... Random Forest predict the test data by choosing majority class for Classification and by taking mean in case of Regression. Random forests have a tendency to bias towards variables that have more number of ... See full document
5
A machine-learning approach to predict postprandial hypoglycemia
... that predict nocturnal hypoglycemia (for both single- and bi-hormonal AP systems) with high accu- racy, the prediction of postprandial hypoglycemia is still a challenge because of extreme glucose fluctuations ... See full document
13
Optimum Crop Prediction using Data Mining and Machine Learning Techniques
... Abstract—In this paper, we develop a web based application system that will assist farmers in selecting the crop that is most suitable for his land. This system is better than other systems as it considers various ... See full document
5
FUZZY C-MEANS with APRIORI & ID3 for PREDICTING HEART STROKE RISK LEVEL
... efficient approach to predict heart stroke risk levels from the heart problem dataset by using machine learning ...Keywords: Machine learnin: Heart Problem: Fuzzy C-means: Apriori ... See full document
7
A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
... This second stage of MDS has received lesser attention compared to the first stage. Chronological ordering; ordering sentences according to the pub- lished date of the documents they belong to [6], is one solution to this ... See full document
12
Perceived Loan Risk and Ex Post Default Outcome: Are The Banks’ Loan Screening Criteria Efficient?
... of default incidence in Nigeria suggests that a combination of factors is responsible for the loan defaults occurrence in ...that default risk incidence has become pervasive and ...the loan ... See full document
12
Valuation of a Tranched Loan Credit Default Swap Index
... Credit Default Swaps, called LCDS in sim- ple, are financial instruments that provide the buyer an insurance against the default of the underlying syndi- cated secured ...Credit Default Swaps (CDS), ... See full document
7
A Study on the Factors Affecting the Consumers to Default the Housing Loan
... of default between men and women (Harrast, 2004; Volkwein & Szelest, 1995; Wilms et ...to default on loans (Flint, 1997; Podgursky et ...the default Volkwein and Szelest (1995) found that the ... See full document
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