From 1f5d4e3f2190b38919e7af8ba2d923d575a643b0 Mon Sep 17 00:00:00 2001 From: Max Orhai Date: Tue, 9 May 2017 11:28:10 -0700 Subject: [PATCH 1/4] comment out missing summary command --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 57d960a..b480f31 100644 --- a/Makefile +++ b/Makefile @@ -19,7 +19,7 @@ src/naive_bayes_simp.hk: src/NaiveBayes.hs: src/naive_bayes_simp.hk # compile src/naive_bayes_simp.hk -o src/NaiveBayes.hs -M NaiveBayes - summary --logfloat-prelude src/naive_bayes_simp.hk -o src/NaiveBayes.hs -M NaiveBayes + # summary --logfloat-prelude src/naive_bayes_simp.hk -o src/NaiveBayes.hs -M NaiveBayes build: src/NaiveBayes.hs data stack build From f0d67e9da80f96af5e3d8b189f0e48424db491ce Mon Sep 17 00:00:00 2001 From: Max Orhai Date: Tue, 9 May 2017 11:29:32 -0700 Subject: [PATCH 2/4] pass command line arguments into TCP and R script --- app/TCP.hs | 5 ++++- confusion.R | 6 ++++-- 2 files changed, 8 insertions(+), 3 deletions(-) diff --git a/app/TCP.hs b/app/TCP.hs index 3d4377c..789310a 100644 --- a/app/TCP.hs +++ b/app/TCP.hs @@ -1,5 +1,6 @@ module Main where +import System.Environment (getArgs) import qualified Data.ByteString.Char8 as B import News (getNews) import qualified System.Random.MWC as MWC @@ -13,7 +14,9 @@ import Data.List (sort) import Data.Number.LogFloat main = do - (words, docs, topics) <- getNews (Just 10) [0..] + args <- getArgs + let n = (read (head args)) :: Int + (words, docs, topics) <- getNews (Just n) [0..] g <- MWC.create let zPrior = onesFrom topics diff --git a/confusion.R b/confusion.R index e32acd9..4e15e5f 100644 --- a/confusion.R +++ b/confusion.R @@ -1,10 +1,12 @@ +args <- commandArgs(TRUE) +arg <- args[1] # Make sure we have all the packages we need deps <- c("ggplot2", "reshape2") new.packages <- deps[!(deps %in% installed.packages()[,"Package"])] if(length(new.packages)) install.packages(new.packages) for(dep in deps) do.call("library",list(dep)) -conf <- table(read.csv("./nb-confusion.csv")) +conf <- table(read.csv(paste(arg, "csv", sep="."))) g <- ggplot(as.data.frame(conf ), aes(y=true, x=predicted, fill=Freq))+geom_tile() -ggsave("nb-confusion.pdf", plot=g) \ No newline at end of file +ggsave(paste(arg, "png", sep="."), plot=g, width=4, height=3, dpi=300) From 6d1948e64862c41e129e4e9117dc13b422ec7215 Mon Sep 17 00:00:00 2001 From: Max Orhai Date: Tue, 9 May 2017 11:38:22 -0700 Subject: [PATCH 3/4] output data and processing scripts for plots --- eval/csv/nb-confusion-001.csv | 21 + eval/csv/nb-confusion-002.csv | 41 + eval/csv/nb-confusion-003.csv | 61 + eval/csv/nb-confusion-004.csv | 81 ++ eval/csv/nb-confusion-005.csv | 101 ++ eval/csv/nb-confusion-006.csv | 121 ++ eval/csv/nb-confusion-007.csv | 141 +++ eval/csv/nb-confusion-008.csv | 161 +++ eval/csv/nb-confusion-009.csv | 181 +++ eval/csv/nb-confusion-010.csv | 201 ++++ eval/csv/nb-confusion-011.csv | 221 ++++ eval/csv/nb-confusion-012.csv | 241 ++++ eval/csv/nb-confusion-013.csv | 261 +++++ eval/csv/nb-confusion-014.csv | 281 +++++ eval/csv/nb-confusion-015.csv | 301 +++++ eval/csv/nb-confusion-016.csv | 321 ++++++ eval/csv/nb-confusion-017.csv | 341 ++++++ eval/csv/nb-confusion-018.csv | 361 ++++++ eval/csv/nb-confusion-019.csv | 381 +++++++ eval/csv/nb-confusion-020.csv | 401 +++++++ eval/csv/nb-confusion-021.csv | 421 +++++++ eval/csv/nb-confusion-022.csv | 441 ++++++++ eval/csv/nb-confusion-023.csv | 461 ++++++++ eval/csv/nb-confusion-024.csv | 481 ++++++++ eval/csv/nb-confusion-025.csv | 501 +++++++++ eval/csv/nb-confusion-026.csv | 521 +++++++++ eval/csv/nb-confusion-027.csv | 541 +++++++++ eval/csv/nb-confusion-028.csv | 561 +++++++++ eval/csv/nb-confusion-029.csv | 581 ++++++++++ eval/csv/nb-confusion-030.csv | 601 ++++++++++ eval/csv/nb-confusion-031.csv | 621 ++++++++++ eval/csv/nb-confusion-032.csv | 641 +++++++++++ eval/csv/nb-confusion-033.csv | 661 +++++++++++ eval/csv/nb-confusion-034.csv | 681 +++++++++++ eval/csv/nb-confusion-035.csv | 701 ++++++++++++ eval/csv/nb-confusion-036.csv | 721 ++++++++++++ eval/csv/nb-confusion-037.csv | 741 ++++++++++++ eval/csv/nb-confusion-038.csv | 761 +++++++++++++ eval/csv/nb-confusion-039.csv | 781 +++++++++++++ eval/csv/nb-confusion-040.csv | 801 +++++++++++++ eval/csv/nb-confusion-041.csv | 821 ++++++++++++++ eval/csv/nb-confusion-042.csv | 841 ++++++++++++++ eval/csv/nb-confusion-043.csv | 861 ++++++++++++++ eval/csv/nb-confusion-044.csv | 881 +++++++++++++++ eval/csv/nb-confusion-045.csv | 901 +++++++++++++++ eval/csv/nb-confusion-046.csv | 921 +++++++++++++++ eval/csv/nb-confusion-047.csv | 941 ++++++++++++++++ eval/csv/nb-confusion-048.csv | 961 ++++++++++++++++ eval/csv/nb-confusion-049.csv | 981 ++++++++++++++++ eval/csv/nb-confusion-050.csv | 1001 +++++++++++++++++ eval/csv/nb-confusion-051.csv | 1021 +++++++++++++++++ eval/csv/nb-confusion-052.csv | 1041 +++++++++++++++++ eval/csv/nb-confusion-053.csv | 1061 +++++++++++++++++ eval/csv/nb-confusion-054.csv | 1081 ++++++++++++++++++ eval/csv/nb-confusion-055.csv | 1101 ++++++++++++++++++ eval/csv/nb-confusion-056.csv | 1121 ++++++++++++++++++ eval/csv/nb-confusion-057.csv | 1141 +++++++++++++++++++ eval/csv/nb-confusion-058.csv | 1161 +++++++++++++++++++ eval/csv/nb-confusion-059.csv | 1181 +++++++++++++++++++ eval/csv/nb-confusion-060.csv | 1201 ++++++++++++++++++++ eval/csv/nb-confusion-061.csv | 1221 ++++++++++++++++++++ eval/csv/nb-confusion-062.csv | 1241 ++++++++++++++++++++ eval/csv/nb-confusion-063.csv | 1261 +++++++++++++++++++++ eval/csv/nb-confusion-064.csv | 1281 +++++++++++++++++++++ eval/csv/nb-confusion-065.csv | 1301 +++++++++++++++++++++ eval/csv/nb-confusion-066.csv | 1321 ++++++++++++++++++++++ eval/csv/nb-confusion-067.csv | 1341 ++++++++++++++++++++++ eval/csv/nb-confusion-068.csv | 1361 ++++++++++++++++++++++ eval/csv/nb-confusion-069.csv | 1381 +++++++++++++++++++++++ eval/csv/nb-confusion-070.csv | 1401 +++++++++++++++++++++++ eval/csv/nb-confusion-071.csv | 1421 +++++++++++++++++++++++ eval/csv/nb-confusion-072.csv | 1441 ++++++++++++++++++++++++ eval/csv/nb-confusion-073.csv | 1461 ++++++++++++++++++++++++ eval/csv/nb-confusion-074.csv | 1481 ++++++++++++++++++++++++ eval/csv/nb-confusion-075.csv | 1501 +++++++++++++++++++++++++ eval/csv/nb-confusion-076.csv | 1521 +++++++++++++++++++++++++ eval/csv/nb-confusion-077.csv | 1541 +++++++++++++++++++++++++ eval/csv/nb-confusion-078.csv | 1561 +++++++++++++++++++++++++ eval/csv/nb-confusion-079.csv | 1581 ++++++++++++++++++++++++++ eval/csv/nb-confusion-080.csv | 1601 ++++++++++++++++++++++++++ eval/csv/nb-confusion-081.csv | 1621 ++++++++++++++++++++++++++ eval/csv/nb-confusion-082.csv | 1641 +++++++++++++++++++++++++++ eval/csv/nb-confusion-083.csv | 1661 +++++++++++++++++++++++++++ eval/csv/nb-confusion-084.csv | 1681 +++++++++++++++++++++++++++ eval/csv/nb-confusion-085.csv | 1701 ++++++++++++++++++++++++++++ eval/csv/nb-confusion-086.csv | 1721 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| 21 + eval/score.py | 16 + eval/scores.csv | 101 ++ 103 files changed, 101238 insertions(+) create mode 100644 eval/csv/nb-confusion-001.csv create mode 100644 eval/csv/nb-confusion-002.csv create mode 100644 eval/csv/nb-confusion-003.csv create mode 100644 eval/csv/nb-confusion-004.csv create mode 100644 eval/csv/nb-confusion-005.csv create mode 100644 eval/csv/nb-confusion-006.csv create mode 100644 eval/csv/nb-confusion-007.csv create mode 100644 eval/csv/nb-confusion-008.csv create mode 100644 eval/csv/nb-confusion-009.csv create mode 100644 eval/csv/nb-confusion-010.csv create mode 100644 eval/csv/nb-confusion-011.csv create mode 100644 eval/csv/nb-confusion-012.csv create mode 100644 eval/csv/nb-confusion-013.csv create mode 100644 eval/csv/nb-confusion-014.csv create mode 100644 eval/csv/nb-confusion-015.csv create mode 100644 eval/csv/nb-confusion-016.csv create mode 100644 eval/csv/nb-confusion-017.csv create mode 100644 eval/csv/nb-confusion-018.csv create mode 100644 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eval/csv/nb-confusion-099.csv create mode 100644 eval/csv/nb-confusion-100.csv create mode 100644 eval/plot.py create mode 100644 eval/score.py create mode 100644 eval/scores.csv diff --git a/eval/csv/nb-confusion-001.csv b/eval/csv/nb-confusion-001.csv new file mode 100644 index 0000000..6259f72 --- /dev/null +++ b/eval/csv/nb-confusion-001.csv @@ -0,0 +1,21 @@ +true, predicted +0, 6 +1, 6 +2, 14 +3, 15 +4, 3 +5, 5 +6, 11 +7, 18 +8, 17 +9, 10 +10, 9 +11, 6 +12, 15 +13, 9 +14, 12 +15, 12 +16, 15 +17, 19 +18, 15 +19, 17 diff --git a/eval/csv/nb-confusion-002.csv b/eval/csv/nb-confusion-002.csv new file mode 100644 index 0000000..5247561 --- /dev/null +++ b/eval/csv/nb-confusion-002.csv @@ -0,0 +1,41 @@ +true, predicted +0, 6 +0, 19 +1, 6 +1, 17 +2, 15 +2, 9 +3, 2 +3, 8 +4, 17 +4, 0 +5, 5 +5, 5 +6, 8 +6, 1 +7, 13 +7, 7 +8, 13 +8, 6 +9, 9 +9, 10 +10, 9 +10, 10 +11, 11 +11, 11 +12, 15 +12, 6 +13, 2 +13, 18 +14, 18 +14, 3 +15, 18 +15, 0 +16, 16 +16, 16 +17, 18 +17, 18 +18, 10 +18, 17 +19, 0 +19, 7 diff --git a/eval/csv/nb-confusion-003.csv b/eval/csv/nb-confusion-003.csv new file mode 100644 index 0000000..042a72c --- /dev/null +++ b/eval/csv/nb-confusion-003.csv @@ -0,0 +1,61 @@ +true, predicted +0, 0 +0, 0 +0, 18 +1, 6 +1, 17 +1, 15 +2, 15 +2, 9 +2, 3 +3, 2 +3, 8 +3, 19 +4, 3 +4, 0 +4, 7 +5, 5 +5, 6 +5, 2 +6, 8 +6, 13 +6, 15 +7, 4 +7, 7 +7, 9 +8, 17 +8, 6 +8, 19 +9, 9 +9, 10 +9, 9 +10, 9 +10, 10 +10, 10 +11, 11 +11, 11 +11, 11 +12, 12 +12, 6 +12, 15 +13, 2 +13, 18 +13, 6 +14, 12 +14, 14 +14, 14 +15, 18 +15, 0 +15, 0 +16, 16 +16, 16 +16, 16 +17, 18 +17, 17 +17, 17 +18, 0 +18, 2 +18, 10 +19, 0 +19, 0 +19, 0 diff --git a/eval/csv/nb-confusion-004.csv b/eval/csv/nb-confusion-004.csv new file mode 100644 index 0000000..9daf96a --- /dev/null +++ b/eval/csv/nb-confusion-004.csv @@ -0,0 +1,81 @@ +true, predicted +0, 0 +0, 0 +0, 9 +0, 0 +1, 6 +1, 17 +1, 3 +1, 3 +2, 4 +2, 9 +2, 3 +2, 3 +3, 2 +3, 8 +3, 19 +3, 1 +4, 3 +4, 13 +4, 7 +4, 2 +5, 5 +5, 6 +5, 1 +5, 6 +6, 8 +6, 13 +6, 15 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b/eval/csv/nb-confusion-011.csv @@ -0,0 +1,221 @@ +true, predicted +0, 0 +0, 0 +0, 0 +0, 0 +0, 17 +0, 0 +0, 17 +0, 0 +0, 0 +0, 0 +0, 0 +1, 1 +1, 9 +1, 2 +1, 14 +1, 11 +1, 1 +1, 14 +1, 1 +1, 1 +1, 1 +1, 3 +2, 12 +2, 5 +2, 3 +2, 3 +2, 3 +2, 8 +2, 4 +2, 2 +2, 1 +2, 5 +2, 3 +3, 2 +3, 8 +3, 19 +3, 2 +3, 4 +3, 7 +3, 12 +3, 2 +3, 3 +3, 4 +3, 4 +4, 11 +4, 0 +4, 7 +4, 2 +4, 3 +4, 8 +4, 3 +4, 4 +4, 4 +4, 5 +4, 2 +5, 5 +5, 5 +5, 1 +5, 2 +5, 1 +5, 5 +5, 5 +5, 2 +5, 5 +5, 5 +5, 5 +6, 8 +6, 14 +6, 6 +6, 14 +6, 14 +6, 4 +6, 0 +6, 1 +6, 12 +6, 13 +6, 6 +7, 7 +7, 7 +7, 2 +7, 8 +7, 7 +7, 7 +7, 14 +7, 7 +7, 7 +7, 7 +7, 7 +8, 8 +8, 8 +8, 8 +8, 8 +8, 12 +8, 8 +8, 8 +8, 8 +8, 8 +8, 8 +8, 9 +9, 9 +9, 9 +9, 9 +9, 9 +9, 9 +9, 9 +9, 9 +9, 9 +9, 9 +9, 9 +9, 9 +10, 9 +10, 10 +10, 10 +10, 10 +10, 9 +10, 9 +10, 9 +10, 17 +10, 10 +10, 9 +10, 10 +11, 11 +11, 11 +11, 11 +11, 11 +11, 17 +11, 11 +11, 11 +11, 11 +11, 11 +11, 11 +11, 11 +12, 15 +12, 6 +12, 7 +12, 7 +12, 6 +12, 9 +12, 6 +12, 2 +12, 8 +12, 12 +12, 3 +13, 16 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+19, 19 +19, 19 +19, 19 +19, 19 +19, 8 +19, 15 +19, 19 +19, 19 +19, 19 +19, 19 +19, 19 +19, 0 +19, 19 +19, 15 +19, 19 +19, 19 +19, 15 +19, 15 +19, 19 +19, 19 +19, 19 +19, 19 +19, 19 +19, 19 +19, 15 +19, 17 +19, 19 +19, 15 +19, 19 +19, 19 +19, 15 +19, 19 +19, 19 +19, 19 +19, 19 +19, 15 +19, 19 +19, 19 +19, 17 +19, 19 +19, 19 +19, 18 +19, 19 +19, 19 +19, 19 +19, 19 diff --git a/eval/plot.py b/eval/plot.py new file mode 100644 index 0000000..fd6d144 --- /dev/null +++ b/eval/plot.py @@ -0,0 +1,21 @@ +import matplotlib.pyplot as plt +from csv import DictReader + + +def data_from(filename): + with open(filename) as csvfile: + reader = DictReader(csvfile) + return [{k: float(v) for (k, v) in row.items()} for row in reader] + + +if __name__ == '__main__': + data = data_from('scores.csv') + docs = [row['documents'] for row in data] + times = [(row['user_time'] + row['sys_time']) / row['total'] for row in data] + scores = [row['correct'] / row['total'] for row in data] + plt.plot(docs, times, 'ro', alpha=0.5, label='Run time (seconds) per document') + plt.plot(docs, scores, 'bo', alpha=0.5, label='Accuracy = correct / total') + plt.xlabel('Sampled documents per topic') + plt.grid(True) + plt.legend() + plt.show() diff --git a/eval/score.py b/eval/score.py new file mode 100644 index 0000000..166c6b4 --- /dev/null +++ b/eval/score.py @@ -0,0 +1,16 @@ + +def score(filename): + with open(filename) as fh: + correct, total = 0, 0 + fh.next() # throw away header + for line in fh: + true, pred = map(int, line.split(',')) + total += 1 + if true == pred: + correct += 1 + return (correct, total) + + +if __name__ == '__main__': + for n in range(1, 101): + print(score('nb-confusion-%s.csv' % n)) diff --git a/eval/scores.csv b/eval/scores.csv new file mode 100644 index 0000000..bc275c7 --- /dev/null +++ b/eval/scores.csv @@ -0,0 +1,101 @@ +documents,correct,total,real_time,user_time,sys_time +1,1,20,8.17,7.63,0.53 +2,9,40,12.96,12.35,0.58 +3,19,60,18.86,18.17,0.66 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+93,1463,1860,2708.31,2670.87,30.39 +94,1488,1880,2728.38,2691.01,31.99 +95,1505,1900,2806.64,2761.99,35.15 +96,1527,1920,5915.23,2849.45,33.68 +97,1548,1940,2941.31,2898.05,35.81 +98,1567,1960,3001.02,2959.24,34.59 +99,1584,1980,3042.57,3005.01,33.59 +100,1597,2000,3096.99,3058.93,34.01 From 74648ef9c1682d9f24b98c6c62b60627ea1c4d5e Mon Sep 17 00:00:00 2001 From: Max Orhai Date: Tue, 9 May 2017 16:51:45 -0700 Subject: [PATCH 4/4] plots and evaluation summary README --- eval/README.md | 20 ++++++++++++++++++++ eval/nb-confusion.gif | Bin 0 -> 8707950 bytes eval/performance.png | Bin 0 -> 117281 bytes 3 files changed, 20 insertions(+) create mode 100644 eval/README.md create mode 100644 eval/nb-confusion.gif create mode 100644 eval/performance.png diff --git a/eval/README.md b/eval/README.md new file mode 100644 index 0000000..32bf7d0 --- /dev/null +++ b/eval/README.md @@ -0,0 +1,20 @@ +# Evaluation results +Inital evaluation performed by Max Orhai at Galois, May 2017. + +## Method +On a MacBook Pro I timed and ran the submitted solution 100 times, with training sets ranging from 1 to 100 documents per topic. +The captured output was [scored](score.py) for accuracy. +The scores and timing are summarized in a [CSV](scores.csv). + +## Accuracy +The classifier performs well, attaining 60% accuracy after only 20 sampled documents per topic, and approaching 80% when given more training data. + +The animation below shows the improvement as the size of the training set ranges from 1 to 100 documents for each of the 20 newsgroups. + +![animated confusion matrix](nb-confusion.gif) + +## Performance +As expected, run times are quadratic in the input size. +The plot below shows the (dimensionless) proportion of correctly classified documents along with the number of seconds *per document*, so it appears linear. + +![performance plot](performance.png) diff --git a/eval/nb-confusion.gif b/eval/nb-confusion.gif new file mode 100644 index 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