審判最終処分種別 (JP) | Patentfield

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Rank	Score	AI predict score	Application	Publication	Examined/Granted
{{numberRank.rank}}	{{numberRank.score}}	{{numberRank.predict_score}}	{{numberRank.app_id}}	{{numberRank.pub_id}}	{{numberRank.exam_id}}

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{{ preCondition.lop }} {{preUserSearchSettings[preCondition.q][0]}} {{preUserSearchSettings[preCondition.q][1] ? '(' + preUserSearchSettings[preCondition.q][1] + ')' : ''}} {{preCondition.key}}

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Created at : {{userSearchSetting.created_at | strftime('YYYY-MM-DD')}}
N hits on last searched : {{userSearchSetting.last_searched_n_hits}}

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{{index+1}}

{{condition.nhits}}

{{index+1}}

N records
N clusters
N search words

{{condition.nhits}}

{{index+1}}

# of cited

# of citing

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{{labelName.name}} {{countLabelName(labelName.name)}} {{labelName.weight ? labelName.weight : '1.0'}}

{{labelName.name}} {{countLabelName(labelName.name)}} {{labelName.weight ? labelName.weight : '1.0'}}

Supervised labels Prediction labels Visualize Parameter tuning Option

Pupervised labels Prediction labels Visualize Parameter tuning Option

Pupervised labels Prediction labels Visualize Parameter tuning Option

Pupervised labels Prediction labels Visualize Parameter tuning Option

Pupervised labels Prediction labels Visualize Parameter tuning Option

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Accuracy : {{Math.floor((tuningBest.accuracy * 1000)) / 1000}} Precision : {{Math.floor((tuningBest.precision * 1000)) / 1000}} Recall : {{Math.floor((tuningBest.recall * 1000)) / 1000}} F-measure : {{Math.floor((tuningBest.fmeasure * 1000)) / 1000}} Targe features : {{t.supervised_label_sets[tuningBest.features]}} C: {{tuningBest.c}} Sigma: {{tuningBest.sigma}} Prefer label(binary) : {{tuningBest.force_zero}}

Accuracy : {{Math.floor((result.accuracy * 1000)) / 1000}} Precision : {{Math.floor((result.precision * 1000)) / 1000}} Recall : {{Math.floor((result.recall * 1000)) / 1000}} F-measure : {{Math.floor((result.fmeasure * 1000)) / 1000}} Targe features : {{t.supervised_label_sets[result.features]}} C: {{result.c}} Sigma: {{result.sigma}} Prefer label(binary) : {{result.force_zero}}

Query type

Query Empty query Query must be less than 1000 characters Already exists Invalid number Too many supervised labels Too many prediction labels

Label

{{label}}

Pupervised labels Import from file Save supervised labels Edit supervised labels Save supervised labels CSV DL Delete All Parameter Settings Manual

Prediction labels Import from file Save prediction labels Edit prediction labels Save prediction labels CSV DL Delete All Parameter Settings Manual

C : Cost

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{{trainPageStart+index+1}} App Pub Exam Text {{label}} {{label}} {{label.s.join(',')}} {{label.l}}

- Accuracy : {{Math.floor((trainAccuracy * 1000)) / 1000}} Precision : {{Math.floor((trainPrecision * 1000)) / 1000}} Recall : {{Math.floor((trainRecall * 1000)) / 1000}} F-measure : {{Math.floor((trainFMeasure * 1000)) / 1000}}

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{{predictPageStart+index+1}} App Pub Exam {{label.q}} {{label.q}} {{label.n ? label.n : ' '}} {{Math.floor((label.ps * 1000)) / 1000}} {{Math.floor((label.ps * 1000)) / 1000}} {{label.pcs.join(',')}} {{label.pl}} {{label}} {{label}} {{label.s.join(',')}} {{label.l}}

Accuracy : {{Math.floor((accuracy * 1000)) / 1000}} ({{correct}} / {{total}}) Precision : {{Math.floor((precision * 1000)) / 1000}} Recall : {{Math.floor((recall * 1000)) / 1000}} F-measure : {{Math.floor((FMeasure * 1000)) / 1000}}

{{labelName.name}} : {{Math.floor((predictStats[labelName.name].correct / predictStats[labelName.name].total) * 1000) / 1000}} ({{predictStats[labelName.name].correct}} / {{predictStats[labelName.name].total}})

Train Label filter

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Pre Train Label filter

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Custom Label filter

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Custom Pre Label filter

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Data reference > 審判最終処分種別 (JP)

コード	件数
00	審査部差戻し
01	請求成立
02	請求不成立
03	一部成立
04	出願取下による審判終了
05	出願放棄による審判終了
06	出願変更による審判終了
07	前置登録査定
09	審判請求取下
10	請求無効
11	審決却下
12	決定却下
15	異議終了
16	請求手続却下（旧請求無効）

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