F-score
Complementarity, F score, and NLP Evaluation
... Like F-score, these two are also summary measures, and so suf- fer from a similar lack of ...same F-score, but on very different examples, depending on what infor- mation they ...
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Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications
... optimal F-score, BER and cost-sensitive risk, extending Fano’s ...optimizing F-score or cost-sensitive risk, in that it can potentially lead to low F-score and high ...for ...
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F Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media
... We adopt positional character embeddings in our next four models. Our first model is a B- LSTM neural network (baseline). To take advan- tage of traditional model (Chieu and Ng, 2002; Mccallum et al., 2001) such as CRF, ...
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Effectiveness of F-SCORE on the Loser Following Online Portfolio Strategy in the Korean Value Stocks Portfolio
... However, one of the limitations of F-SCORE is that it is possible to lose a lot of information by replacing the values of variables with indicators 0 and 1. As an alternative, you may want to consider the ...
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Developing Multi-Query Form for F-score Result
... or F-measure is also known as F1 score is basically used to measure the ...the score where p is the number of correct positive results which is divided by number of all positive results & r is ...
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FEATURE EXTRACTION TECHNIQUES USING SUPPORT VECTOR MACHINES IN DISEASE PREDICTION
... For better results of SVM, the features that are given as an input to SVM are needed to be reduced. The reduced feature set helps to improve the efficiency of the results produced by the algorithm. To reduce features ...
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Comparison of difficulty with activities of daily living in elderly adults undergoing hemodialysis and community-dwelling individuals: a cross-sectional study
... median score of each item of ADL difficulty and score distribution of each item were compared between the HD and control groups using the Mann-Whitney U test and chi-square ...the score distribution ...
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Identifying Narrative Clause Types in Personal Stories
... To assess whether more annotated data could im- prove performance, we ran a series of learning curves in Fig. 2. Only the training data was used for these experiments. The curves were created by randomly sampling 90% of ...
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A joint model of word segmentation and phonological variation for English word final /t/ deletion
... of F-score, the harmonic mean of recall (the fraction of underly- ing /t/s the model correctly recovered) and preci- sion (the fraction of underlying /t/s the model pre- dicted that were ...
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Detecting Actions of Fruit Flies
... their F*-score on each action, by first applying principal component analysis to the #methods × #actions F*-matrix, eliminating correlations, and then applying k-means to the dimension-reduced ...
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Clustering Paraphrases by Word Sense
... On average across test sets and clustering algorithms, using the direct para- phrase score gives stronger V-Measure and F-score than the second-order methods.. It also produces.[r] ...
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Renal replacement therapy is an independent risk factor for mortality in critically ill patients with acute kidney injury
... SHARF score were collected at the first day that the criteria of AKI were ...II) score [21] and with the Sequential Organ Failure Assessment (SOFA) score [22] at admission of the ...
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A study of the automobile driver and traffic accidents in relation to biographic, attitudinal and personality factors : submitted in partial fulfullment of the requirements for the degree of M A , Psychology Department, Massey University, Palmerston North, New Zealand
... Semantic Differential Mean Score and Standard Deviation for MA+AF, FA+AF, AM+F and AFM+F Driver Groups.. Semantic Differential and MAF Driver Groups.[r] ...
22
Computer-aided design of multi-target ligands at A1R, A2AR and PDE10A, key proteins in neurodegenerative diseases
... 6. Schmidt CJ, Chapin DS, Cianfrogna J, Corman ML, Hajos M, Harms JF, Hoffman WE, Lebel LA, McCarthy SA, Nelson FR, Proulx-LaFrance C, Majchrzak MJ, Ramirez AD, Schmidt K, Seymour PA, Siuciak JA, Tingley FD, Williams ...
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Original Article Application value of an integrated treatment model of orthopedic rehabilitation in patients undergoing total knee arthroplasty
... Pain was compared between the two groups using the numerical rating scale (NRS) score. Recovery of knee joint function was compared between the two groups using the active range of motion (AROM) score. The ...
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Protein (multi-)location prediction: using location inter-dependencies in a probabilistic framework
... confidence score is computed as a measure of the likelihood of the protein to be localized to both locations; if the score is above a certain threshold, the protein is predicted to be assigned to both ...
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COMPARISON OF PERFORMANCE EVALUATION OF IRANIAN BANKS USING FUZZY AHP, FUZZY TOPSIS AND BALANCED SCORECARD (BSC) APPROACH
... Fuzzy TOPSIS and F-AHP methods were used to analyze the data. The Fuzzy Analytic Hierarchy Process (F-AHP) method was used to analyze the obtained data with Chang’s (1996) Extent Analysis method. Banking ...
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A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing
... Via an oracle experiment, we show that the upper bound on accuracy of a CCG parser is significantly lowered when its search space is pruned using a supertagger, though the su- pertagger also prunes many bad parses. In- ...
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Assessment of pain score and specimen adequacy for ultrasound-guided fine-needle aspiration biopsy of thyroid nodules
... In our study, as pain scores after 5 minutes were mostly no or mild (Table 2), we included only immediate pain scores in the analysis. We found that the use of LA was associated with significantly lower immediate pain ...
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A-MUPS score to differentiate patients with somatic symptom disorder from those with medical disease for complaints of non-acute pain
... Methods: We retrospectively examined the clinical records of consecutive patients with pain for a duration of ≥1 month in our department from April 2003 to March 2015. We divided the subjects according to the diagnoses ...
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