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About Missing Values
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bk
August 09, 2019
Science
420
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About Missing Values
bk
August 09, 2019
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Transcript
ܽଛॲཧʹ͍ͭͯ dࣦΘΕͨΛٻΊͯd
࣍ 1. ܽଛͱ 2. ܽଛআڈ 3. ܽଛλΠϓ 4. ୯Ұೖ๏ 5.
ଟॏೖ๏ 6. ࠓճհ͠ͳ͔ͬͨͷ 7. ࢀߟจݙ
ܽଛͱ Missing Valueʢܽଛɺܽଌʣ In statistics, missing data, or missing values,
occur when no data value is stored for the variable in an observation. Missing data are a common occurrence and can have a significant effect on the conclusions that can be drawn from the data. ʢhttps://en.wikipedia.org/wiki/Missing_dataʣ
ܽଛ͕͋Δͱ Կ͕ࠔΔͷ͔ʁ ܽଛͱ
ܭࢉग़དྷͳ͍ Q,10, 20, ܽଛͷฏۉʁ ܽଛͱ > mean(c(10, 20, NA)) [1]
NA
Ͳ͏͢Δͷ͔ʁ ܽଛͱ
1. ফ͢ 2. ຒΊΔ ܽଛͱ
1. ফ͢ 2. ຒΊΔ 1. ফ͢ ܽଛͱ
ܽଛͷ͋ΔϨίʔυΛফ͢ ମॏ ੑผ 50 ঁ 70 உ 55 NA NA
உ ܽଛআڈ
ମॏ ੑผ 50 ঁ 70 உ 55 NA NA உ
ମॏ ੑผ 50 ঁ 70 உ ܽଛͷ͋ΔϨίʔυΛফ͢ ܽଛআڈ
ମॏ ੑผ 50 ঁ 70 உ 55 NA NA உ
ମॏ ੑผ 50 ঁ 70 உ ϦετϫΠζ๏ ܽଛͷ͋ΔϨίʔυΛফ͢ ܽଛআڈ
ফ͍͍ͯ͠ͷʁ 1. ফͯ͠ྑ͍߹ 2. ফͯ͠ବͳ߹ ܽଛআڈ
શʹϥϯμϜʹܽଛ ܽଛύλʔϯੑผ ମॏͱແؔ ܽଛআڈ
શʹϥϯμϜʹܽଛ ܽଛύλʔϯੑผ ମॏͱແؔ ফͯ͠ͳ͍ ͨͩ͠ɺޮԼ͕Δ ܽଛআڈ
؍ଌมʹґଘͯܽ͠ଛ ঁੑͷํ͕ଟܽ͘ଛ ܽଛআڈ
؍ଌมʹґଘͯܽ͠ଛ ফ͢ͱঁੑͷσʔλͷΈݮগ ภΔ ঁੑͷํ͕ଟܽ͘ଛ ܽଛআڈ
ܽଛมࣗମʹґଘͯܽ͠ଛ ମॏͷॏ͍ํ͕ଟ͘ ܽଛ ܽଛআڈ
ܽଛมࣗମʹґଘͯܽ͠ଛ ফ͢ͱମॏͷߴ͍σʔλ͕ݮগ ภΔ ମॏͷॏ͍ํ͕ଟ͘ ܽଛ ܽଛআڈ
‣ શʹϥϯμϜʹܽଛˠMCAR ʢMissing Completely At Randomʣ ‣ ؍ଌมʹґଘͯܽ͠ଛˠMAR ʢMissing At
Randomʣ ‣ ܽଛมࣗମʹґଘͯܽ͠ଛˠNMAR ʢNot Missing At Randomʣ ܽଛλΠϓ
‣ શʹϥϯμϜʹܽଛˠMCAR ʢMissing Completely At Randomʣ ‣ ؍ଌมʹґଘͯܽ͠ଛˠMAR ʢMissing At
Randomʣ ‣ ܽଛมࣗମʹґଘͯܽ͠ଛˠNMAR ʢNot Missing At Randomʣ ܽଛλΠϓ
‣ શʹϥϯμϜʹܽଛˠMCAR ʢMissing Completely At Randomʣ ‣ ؍ଌมʹґଘͯܽ͠ଛˠMAR ʢMissing At
Randomʣ ‣ ܽଛมࣗମʹґଘͯܽ͠ଛˠNMAR ʢNot Missing At Randomʣ ফͯ͠ྑ͍ ܽଛλΠϓ
‣ શʹϥϯμϜʹܽଛˠMCAR ʢMissing Completely At Randomʣ ‣ ؍ଌมʹґଘͯܽ͠ଛˠMAR ʢMissing At
Randomʣ ‣ ܽଛมࣗମʹґଘͯܽ͠ଛˠNMAR ʢNot Missing At Randomʣ ܽଛλΠϓ
‣ શʹϥϯμϜʹܽଛˠMCAR ʢMissing Completely At Randomʣ ‣ ؍ଌมʹґଘͯܽ͠ଛˠMAR ʢMissing At
Randomʣ ‣ ܽଛมࣗମʹґଘͯܽ͠ଛˠNMAR ʢNot Missing At Randomʣ ରॲࠔ ܽଛλΠϓ
‣ શʹϥϯμϜʹܽଛˠMCAR ʢMissing Completely At Randomʣ ‣ ؍ଌมʹґଘͯܽ͠ଛˠMAR ʢMissing At
Randomʣ ‣ ܽଛมࣗମʹґଘͯܽ͠ଛˠNMAR ʢNot Missing At Randomʣ ܽଛλΠϓ
‣ શʹϥϯμϜʹܽଛˠMCAR ʢMissing Completely At Randomʣ ‣ ؍ଌมʹґଘͯܽ͠ଛˠMAR ʢMissing At
Randomʣ ‣ ܽଛมࣗମʹґଘͯܽ͠ଛˠNMAR ʢNot Missing At Randomʣ ܽଛλΠϓ
1. ফ͢ 2. ຒΊΔ 1. ফ͢ 2. ຒΊΔ ୯Ұೖ๏
ͲΜͳͰຒΊΔͷ͔ʁ ୯Ұೖ๏
1. ฏۉʢฏۉೖ๏ʣ 2. ༧ଌʢ֬ఆతճؼೖ๏ʣ 3. ༧ଌ + ࠩʢ֬తճؼೖ๏ʣ + ୯Ұೖ๏
1. ฏۉʢฏۉೖ๏ʣ 2. ༧ଌʢ֬ఆతճؼೖ๏ʣ 3. ༧ଌ + ࠩʢ֬తճؼೖ๏ʣ + ୯Ұೖ๏
ฏۉΛܭࢉ͠ೖ ୯Ұೖ๏
ฏۉΛܭࢉ͠ೖ ฏۉೖ๏ ฏۉ ≒ உੑͷମॏͷฏۉ ୯Ұೖ๏
1. ฏۉʢฏۉೖ๏ʣ 2. ༧ଌʢ֬ఆతճؼೖ๏ʣ 3. ༧ଌ + ࠩʢ֬తճؼೖ๏ʣ + ୯Ұೖ๏
ܽଌΛ༧ଌ͢ΔϞσϧΛ࡞Δ *ิॿม ܽ ଛ ͷ ͋ Δ ม *ิॿม:ܽଛͷ༧ଌʹΘΕΔมɻඞͣ͠తมͷ༧ଌʹΘΕΔΘ͚Ͱͳ͍ɻ
୯Ұೖ๏
ܽଌΛ༧ଌ͢ΔϞσϧΛ࡞Δ ิॿม ܽ ଛ ͷ ͋ Δ ม ୯Ұೖ๏
ܽଌΛ༧ଌ͢ΔϞσϧΛ࡞Δ ܽ ଛ ͷ ͋ Δ ม ʢ֬ఆతʣ ճؼೖ๏
ิॿม ୯Ұೖ๏
ܽ ଛ ͷ ͋ Δ ม ิॿม ೖ͕શͯઢ্ʹ ୯Ұೖ๏
ܽ ଛ ͷ ͋ Δ ม ༧ଌͷޡࠩΛաখධՁ ิॿม ೖ͕શͯઢ্ʹ
୯Ұೖ๏
1. ฏۉʢฏۉೖ๏ʣ 2. ༧ଌʢ֬ఆతճؼೖ๏ʣ 3. ༧ଌ + ࠩʢ֬తճؼೖ๏ʣ 1. ฏۉʢฏۉೖ๏ʣ
2. ༧ଌʢ֬ఆతճؼೖ๏ʣ 3. ༧ଌ + ࠩʢ֬తճؼೖ๏ʣ + ୯Ұೖ๏
ೖϞσϧʹޡ߲ࠩΛՃ ܽ ଛ ͷ ͋ Δ ม ิॿม ޡ߲ࠩ
୯Ұೖ๏
ܽ ଛ ͷ ͋ Δ ม ิॿม ೖϞσϧʹޡ߲ࠩΛՃ Β͖ͭΛө
୯Ұೖ๏
ܽ ଛ ͷ ͋ Δ ม ิॿม ೖϞσϧʹޡ߲ࠩΛՃ ֬తճؼೖ๏
୯Ұೖ๏
ೖϞσϧͷޡ߲ࠩөग़དྷͨ ܽ ଛ ͷ ͋ Δ ม ิॿม ୯Ұೖ๏
ೖϞσϧͦͷͷͷෆ࣮֬ੑʁ ܽ ଛ ͷ ͋ Δ ม ิॿม ʁ
ʁ ʁ ୯Ұೖ๏
1ͭͷΛೖʢ୯Ұೖ๏ʣ ෳͷΛೖ ʢଟॏೖ๏ʣ ଟॏೖ๏
ೖ ੳ ౷߹ ෳͷೖΛਪఆ͠ෳͷೖࡁΈσʔλΛੜ ೖࡁΈσʔλΛ༻ͯ͠ਪఆ ਪఆΛ౷߹͠ɺ࠷ऴ݁Ռͱ͢Δ ଟॏೖ๏
ܽଛσʔλ ೖࡁΈσʔλ1 ೖࡁΈσʔλ2 ೖࡁΈσʔλ3 ੳ݁Ռ1 ੳ݁Ռ2 ੳ݁Ռ3 ࠷ऴ݁Ռ ೖ ੳ
౷߹ ଟॏೖ๏
ܽଛσʔλ ೖࡁΈσʔλ1 ೖࡁΈσʔλ2 ೖࡁΈσʔλ3 ੳ݁Ռ1 ੳ݁Ռ2 ੳ݁Ռ3 ࠷ऴ݁Ռ ೖ ੳ
౷߹ ଟॏೖ๏
‣ DA๏ : Data Augmentationʢσʔλ֦େ๏ʣ ‣ FCS๏ : Fully Conditional
Specificationʢ શ͖݅ࢦఆʣ ‣ EMB๏ : Expectation-Maximization with Bootstrapping ଟॏೖ๏
‣ ܽଛআڈɿϖΞϫΠζ๏ɺมআڈ ‣ ୯Ұೖ๏ɿൺೖ๏ɺϗοτσοΫ๏ɺίʔ ϧυσοΫ๏ɺLOCFɺNOCB ‣ ଟॏೖ๏ɿೖஅɺײੳ ‣ શใ࠷๏ ‣
LightGBMͳͲͷܽଛࣗಈॲཧ ࠓճհ͠ͳ͔ͬͨͷ
‣ ߴڮকٓ,ลඒஐࢠ, ܽଌσʔλॲཧ: RʹΑΔ୯Ұೖ๏ͱ ଟॏೖ๏ (౷ܭֶOne Point), ڞཱग़൛, 2017/12/9, 192ϖʔ
δ ‣ ܽଛ͕͋Δσʔλͷੳ, Sunny side up!, http:// norimune.net/1811 ‣ RͰ࣮ફʂܽଛσʔλੳೖʲ1ʳ, NHN TECHORUS Tech Blog, https://techblog.nhn-techorus.com/archives/6573 ‣ R ܽଛͷରԠʢmissing value treatmentʣ, ౷ܭֶͱӸֶͱ ࣌ʑɺॿڭੜ׆, http://jojoshin.hatenablog.com/entry/ 2017/02/03/220118 ࢀߟจݙ
ENJOY! A