Prediction Accuracy
The prediction accuracy of dynamic mixed-effects models in clustered data
... in prediction accuracy from dynamic mixed-effects models were seen across all clinic-size quintiles, although the greatest improvement was seen in the largest ...predictive accuracy was somewhat ...
21
Locality Alert and Prediction Accuracy for Web Service
... QoS prediction strategies rarely took this observation into ...QoS prediction accuracy and procedure potency considerably, compared to previous CF-based ...
5
Improving the Prediction Accuracy of Soil Mapping through Geostatistics
... map accuracy due to the con- sistency between predicted and observed attribute values for any given location within the mapped region is a re- curring ...and accuracy of spatially continuous interpolation ...
17
Can Machine Learning Improve Recession Prediction Accuracy?
... recession prediction accuracy? Our first method examined over 500,000 variables as potential predictor variables for recession ...model’s accuracy, we employ both in-sample and out-of-sample ...
19
A simple consensus approach improves somatic mutation prediction accuracy
... mutation prediction algorithms and to select variants for follow-up based on overlapping predictions, obviating the need to make a priori assumptions about the relative performance of each ...
14
Assessment of genetic diversity in Coho salmon (Oncorhynchus kisutch) populations with no family records using ddRAD seq
... The prediction accuracy of GEBV was cal- culated using a fivefold cross validation design following Tsai et ...sets. Accuracy was calculated as the average of the correlation between the GEBV and the ...
5
Predictive Modeling of Complex Graphs as Context and Semantics Preserving Vector Spaces.
... Predictive modeling of complex graphs is a process that uses complex graph data and probability theory to forecast outcomes. Relational data, such as social networks and knowledge bases, can be represented as complex ...
91
Case Based Plan Recognition in Computer Games
... the prediction rate of the CBPR system as the size of the plan library ...a prediction accuracy of 69% is achievable with a plan library of size 30 with a prediction rate of ...
10
Failure prediction of Chinese A share listed companies : comparisons using logistic regression model and neural network analysis : a thesis presented in partial fulfilment of the requirements for the degree of Master of Business Studies in Finance at Massey University, Palmerston North, New Zealand
... This study compares the relative prediction accuracy of corporate failure between two prediction methods -logistic regression model and neural network analysis- based on a sample of 3598[r] ...
9
Weighted Random Forests for Evaluating Financial Credit Risk
... the prediction accuracy of a classification model will be larger than ...higher prediction accuracy is not appropriate for processing imbalanced data sets, while most classification algorithms ...
9
Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors
... incidence prediction models is that the SVR model has good performance in solving regression ...series prediction and con- cluded that SVR has good performance in time series data ...the prediction ...
10
Measurement of starch and soluble solid content in papaya using near infrared spectroscopy
... independent prediction set, spectra in the calibration set were subjected to a partial least square (PLS) method with preprocessing of first derivative Savitzky-Golay 9 points (dg1) and multiplicative scatter ...
5
Application in Power Load Forecasting Based on an Improved Combination Grey Model Weighted by Correlation
... grey prediction models, namely the multivariate exponential weighting grey prediction model [10], residual grey prediction model, dynamic and equal-dimensional information grey prediction ...
6
Genomic Prediction Within and Among Doubled-Haploid Libraries from Maize Landraces
... genomic prediction (GP) for line per se performance in DHL from six European landraces and 53 elite flint (EF) lines by comparing four scenarios: GP within a single library (sL); GP between pairs of libraries ...
12
Prediction of protein content in rice using a near-infrared imaging system as diagnostic technique
... Figure 3 shows the image processing flowchart of the NIR imaging system. At the beginning, rice samples were levelly spread in a petri dish (5 cm in diameter and 1.5 cm in depth). the petri dish with a reference (WS-1, ...
6
Applying a CART based approach for the diagnostics of mass appraisal models
... of prediction accuracy, the homogeneity of valuation quality across different segments is important, especially in the context of mass ...where prediction errors are significantly higher than ...
10
Analysis of Support Vector Regression Model for Micrometeorological Data Prediction
... the prediction accuracy of the SVM method based on wavelet transform is significantly higher than that based on SVM and neural network' back propagation (BP) ...temperature prediction model and ...
12
Volatility Forecast of Financial Performance Based on the Logit and LS SVM Mixed Model
... On this basis, using the 24 primary indicators to have significant differences test of single indicator, there are a total of eight indicators have significant differences at 5% significance level, they are: X11, X12, ...
6
A Study on the Accuracy of Prediction in Recommendation System Based on Similarity Measures
... Recommender Systems are tools to understand the huge amount of data available in the internet world. Collaborative filtering (CF) is one of the most knowledge discovery methods used positively in recommendation system. ...
7
Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality
... on prediction accuracy is not well understood theoretically, hence good tradeoffs rely mostly on proper engineering and domain ...the accuracy of the original predictor ...inaccurate ...
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