Metrics

[meghanabhange]

• Reevaluating the metrics with processed training data.

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[NirantK]

What's the acc number now? Did it change?

On Thu, 2 Jan 2020, 16:12 meghanabhange, notifications@github.com wrote:

@meghanabhange https://github.com/meghanabhange requested your review on: #19 https://github.com/NirantK/Hinglish/pull/19 Metrics.

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[meghanabhange]

In general, the accuracy and F1 scores have improved.

Model	Before Processing	After Processing
NBSVM	Cross Validation Scores [0.59648356 0.60573225 0.60227845 0.60166627 0.58526608]Valid accuracy: 0.59853 Valid f1_score: 0.60262	Cross Validation Scores [0.61221384 0.60546175 0.60388084 0.58896403 0.60085742]Valid accuracy: 0.62671 Valid f1_score: 0.63211
LR-TFIDF	Cross Validation Scores [0.5856514  0.60067245 0.58841432 0.59676788 0.58360738]Valid accuracy: 0.59485 Valid f1_score: 0.59924	Cross Validation Scores [0.61372945 0.60484421 0.59632548 0.61229709 0.59192455]Valid accuracy: 0.61912 Valid f1_score: 0.62284
NB-SVM Regular Train Labels confident learnin	Cross Validation Scores [0.57748717 0.58891548 0.57213543 0.59675334 0.57944188] Valid accuracy: 0.59559 Valid f1_score: 0.59869	Cross Validation Scores [0.58569709 0.58793323 0.575477   0.55926908 0.58868271]Valid accuracy: 0.60091 Valid f1_score: 0.60626
LR Regular Train Labels confident learning	Cross Validation Scores [0.59389899 0.61350341 0.60321008 0.6076949  0.58864606]Valid accuracy: 0.58897 Valid f1_score: 0.59264	Cross Validation Scores [0.61478138 0.6073194  0.59535051 0.59933565 0.60500858]Valid accuracy: 0.62443 Valid f1_score: 0.62895