soccer-predictions:足球比赛(世界杯,欧洲杯和美洲杯)的RNN

上传者: 42099942 | 上传时间: 2024-07-26 12:04:49 | 文件大小: 117.69MB | 文件类型: ZIP
R
足球预测 这是用于预测足球比赛(世界杯,欧洲杯和美洲杯)比赛结果的统计预测模型。 该模型在按进攻和防守强度逐场对球队进行评级后,被称为顺序进攻-防守(ODM-S)。 它基于数学家Anjela Govan,Amy Langville和Carl Meyer的。 我们讨论了它是如何工作的以及如何解释预测。 它的准确性和内部运作在。 这个怎么运作 第1步:为团队评分 ODM-S首先根据攻击和防御实力来评估团队。 得分目标是攻击强度的度量,而失落的目标是防御强度的度量。 评分会逐场更新。 通常,一支球队的得分在获胜后会增加,而在输掉后会下降,但并非总是如此,因为要考虑到日程安排和主场优势。 当一支高评价的球队在主场与弱评价的球队取得4-3的胜利时,其评价会下降,而对手的评价会上升。 为了使评分反映球队如何与最佳球员比赛,该模型仅对那些可能出现这些球员的比赛中的球队进行评分,例如锦标赛预选赛和锦标赛

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( 107 个子文件 117.69MB ) soccer-predictions:足球比赛(世界杯,欧洲杯和美洲杯)的RNN
odms-matches-softmax-geomdiff.csv 4.98MB
odms-matches-softmax-nonmov.csv 4.98MB
odms-matches-softmax-diff.csv 4.98MB
odms-matches-skellam-geomdiff.csv 4.98MB
odms-matches-softmax.csv 4.98MB
odms-matches-skellam-diff.csv 4.98MB
odms-matches.csv 4.98MB
odms-matches-skellam-nonmov.csv 4.98MB
odms-matches-skellam.csv 4.97MB
odms-matches-bivpois.csv 4.97MB
matches.csv 2.56MB
matches-scrapped.csv 2.40MB
changes.csv 7.21KB
contests.csv 6.73KB
teams.csv 2.85KB
odms-matches-skellam-diff-fixtures.csv 671B
odms-matches-skellam-geomdiff-fixtures.csv 670B
odms-matches-fixtures.csv 669B
fixtures.csv 267B
geckodriver.log 4.12MB
ghostdriver.log 0B
README.md 3.34KB
technicalReadme.pdf 170.25KB
2018June25.png 3.38MB
2017June28.png 3.38MB
2018June19.png 3.38MB
2017June24.png 3.38MB
2018July05.png 3.38MB
2018June14.png 3.38MB
2017July2.png 3.38MB
2018June30.png 3.38MB
2017June21.png 3.38MB
2017June17.png 3.38MB
scrapper.py 4.67KB
lm.dibp.R 19.31KB
lm.bp.R 11.35KB
RatingsOptions.R 4.04KB
Game.R 3.64KB
simple.bp.R 3.32KB
computeRNN.R 3.06KB
RatingsOptionsSoftmax.R 2.14KB
newnamesbeta.R 2.07KB
RatingsOutput.R 1.91KB
computeLayerBivPois.R 1.88KB
RatingsOptionsBivPois.R 1.87KB
computeLayerSkellam.R 1.75KB
RatingsOptionsSkellam.R 1.72KB
splitbeta.R 1.71KB
writeGames.R 1.70KB
computeLayerMixture.R 1.63KB
optimizeRNN.R 1.58KB
forecastGames.R 1.49KB
pbivpois.R 1.47KB
constructGames.R 1.44KB
computeLayerOdm.R 1.37KB
verifyOdms.R 1.37KB
Change.R 1.37KB
bivpois.table.R 1.34KB
computeLayerSoftmax.R 1.24KB
verifyModel.R 1.13KB
constructComputer.R 1.03KB
RatingsOptionsSoftmaxGeomDiff.R 1.03KB
RatingsOptionsSkellamGeomDiff.R 1.03KB
RatingsOptionsSoftmaxNonMov.R 1002B
RatingsOptionsSkellamNonMov.R 1002B
RatingsOptionsSkellamDiff.R 983B
RatingsOptionsSoftmaxDiff.R 980B
hindcastAll.R 914B
Team.R 864B
hindcastGames.R 829B
EventIterator.R 792B
RatingsCosts.R 792B
computeLayers.RatingsOptions.R 750B
constructChanges.R 749B
computeLayers.RatingsOptionsSkellamGeomDiff.R 607B
computeLayers.RatingsOptionsSoftmaxGeomDiff.R 605B
computeLayers.RatingsOptionsSoftmaxNonMov.R 591B
computeLayers.RatingsOptionsSkellamNonMov.R 588B
computeLayers.RatingsOptionsSoftmaxDiff.R 587B
computeLayers.RatingsOptionsSkellamDiff.R 584B
GameHypo.R 583B
computeLayers.RatingsOptionsBivPois.R 551B
computeLayers.RatingsOptionsSkellam.R 543B
computeLayers.RatingsOptionsSoftmax.R 543B
computeLayerPois.R 496B
computeLayerGoalsGeomDiff.R 489B
constructTeams.R 466B
constructContests.R 459B
readData.R 357B
computeLayerRatings.R 318B
computeLayerHa.R 224B
computeLayerGoalsNonMov.R 204B
writeIter.R 176B
readIter.R 167B
computeLayerGoalsDiff.R 147B
odms-matches-softmax.RData 10.17MB
odms-matches-softmax-diff.RData 10.17MB
odms-matches-softmax-geomdiff.RData 10.17MB
odms-matches-softmax-nonmov.RData 10.16MB
odms-matches-bivpois.RData 10.16MB
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文件过多,未全部展示
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