The F1 score (aka F-measure) is a popular metric for evaluating the performance of a classification model. In the case of multi-class classification, we adopt averaging methods for F1 score…
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(OpsScorerInitParams params) { _f1 = FieldMatchWeighted.create(params, "title_index", "title"); _f1.setGroupScoreMergeOp("max"); _f1.setParamA(1); _f1.setExactMatchBonus(0.5); _f1.setNgramMatchBonus(0.3); return true; } double score(OpsScoreParams params) { return _f1.evaluate...
Specifically, for the linear logistic model, we solve a set of locally weighted score equations, using a kernel-like weight function centered at the threshold. The bandwidth for the weight function is selected by cross validation of a novel hybrid loss function that combines classification error ...
A target device may have a target application and a web application thereon, and a trust broker may generate an application token having associated therewith a state attribute having at least one of a hash digest and a property value assertion, and weighted trust score. The application token may...
Rank correlation measures are appropriate for ordinal measures in which only preference order is important, but many evaluation measures produce system scores in which both the preference order and the magnitude of the score difference are important. Such measures are referred to as interval. Pearson'...
The mean ADC of cancer lesions with a Gleason score of 6 was 1.14 ± 0.40 × 10 mm/sec, while that of lesions with Gleason scores of 7 and 8 was 0.77 ± 0.20 × 10 mm/s (p = 0.008, unpaired t test). DWI and ADC would be useful parameters in the diagnosis of prostate cancer....