審判最終処分種別 (JP)

Import numbers

Choose file / Drag & Drop

Close

Save the numbers on the server

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}}

Search conditions

Save search condition

Email Alert

Set saved search conditions

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

Delete All

Save search condition

Search conditions

Name {{userSearchSetting.title}}

Default

Email Alert

Disable Zero Alert

Period

Latest published

Latest granted

New Update

Load from the saved search conditions

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

Remove the saved search conditions

Save

{{query[1]}} Search | Delete

{{query[0]}}

Reset

More

Reset

More

Reset

More

N records
N clusters
N search words

# of cited

# of citing

Max # of connection

End edge only

Remove citation sources

Exclude same with

Include same with

Get Citation Type Cited/Citing Auto

Add filter conditions

Logical expression

Predict model

Select the work group :

Predict model (Pre) :

Manual Update

Label type

Binary class Multi class Multi label

Adjust score with AI prediction score

Targe features

Custom Labels

{{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

Pupervised labels Prediction labels

Pupervised labels Prediction labels Parameter tuning

チューニングに使用するデータ教師データの一部予測データ

精度検証に使用する割合

チューニング対象特徴量

C : Cost

Sigma : Kernel parameter

Prefer label(binary)

最適パラメータ
精度: {{Math.floor((tuningBest.accuracy * 1000)) / 1000}} 対象特徴量: {{t.supervised_label_sets[tuningBest.features]}} C: {{tuningBest.c}} Sigma: {{tuningBest.sigma}} ２値優先ラベル: {{tuningBest.force_zero}}

精度: {{Math.floor((result.accuracy * 100)) / 100}} 対象特徴量: {{t.supervised_label_sets[result.features]}} C: {{result.c}} Sigma: {{result.sigma}} ２値優先ラベル: {{result.force_zero}}

この機能は現在、一般ユーザー非公開の試験機能です。サーバー負荷が高いため、今後、回数制限か有料オプション加入ユーザー限定となる見込みです。

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

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

Sigma : Kernel parameter

Prefer label(binary)

Automatically parameters tuning

Target of import

# of import

Import

Choose file / Drag & Drop

No supervised labels

{{trainPageStart+index+1}} App Pub Exam {{label.q}} {{label.q}} {{label.n ? label.n : ' '}} {{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}}

Choose file / Drag & Drop

No prediction labels

{{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}})

Custom Label filter

Custom Pre Label filter

Enable prediction with search results

Enable semantic score

# of predict labels

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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Display settings

AI label settings

Supervised labels Prediction labels

Pupervised labels Prediction labels

Pupervised labels Prediction labels Parameter tuning

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

審判最終処分種別 (JP)

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