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F1 score for Haskell #29

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F1 score for Haskell #29

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16 changes: 15 additions & 1 deletion Haskell/Metrics.hs
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Original file line number Diff line number Diff line change
Expand Up @@ -15,9 +15,10 @@ module Metrics
, mapk
, auc, fstEqual, auc1, sumRank, sumEl
, ce
, f1
) where

import Data.List (groupBy, sort)
import Data.List ((\\), groupBy, intersect, nub, sort)
import Math.Statistics (mean)

ae :: Num a => a -> a -> a
Expand Down Expand Up @@ -88,6 +89,19 @@ ce :: Eq a => [a] -> [a] -> Double
ce actual predicted = ((sum [1.0 | (a,p) <- (zip actual predicted), a/=p])
/ (fromIntegral (length actual)))

f1 :: Eq a => [a] -> [a] -> Double
f1 actual predicted =
if precision == 0 && recall == 0
then 0
else 2 * precision * recall / (precision + recall)
where act = nub actual
pred = nub predicted
tp = fromIntegral $ length $ intersect act pred
fp = fromIntegral $ length $ pred \\ act
fn = fromIntegral $ length $ act \\ pred
precision = if tp == 0 && fp == 0 then 0 else tp / (tp + fp)
recall = if tp == 0 && fn == 0 then 0 else tp / (tp + fn)

levenshtein :: Eq a => [a] -> [a] -> Int
levenshtein s t =
d !! (length s) !! (length t)
Expand Down
6 changes: 6 additions & 0 deletions Haskell/testMetrics.hs
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Expand Up @@ -42,6 +42,11 @@ ceTests = TestList [ testEqual "ce1" 0.0 (ce [1,1,1,0,0,0] [1,1,1,0,0,0])
, testEqual "ce5" 1 (ce ["cat","dog","bird"] ["caat","doog","biird"])
]

f1Tests = TestList [ testEqual "f1-1" 0.8 (f1 [3,4,5] [3,4])
, testEqual "f1-2" 0.0 (f1 [7,1] [0])
, testEqual "f1-3" 0.0 (f1 [7] [1,1])
]

levenshteinTests = TestList [ testEqual "levenshtein1" 5 (levenshtein "intention" "execution")
, testEqual "levenshtein2" 3 (levenshtein "sitting" "kitten")
, testEqual "levenshtein3" 3 (levenshtein "Saturday" "Sunday")
Expand Down Expand Up @@ -120,6 +125,7 @@ allTests = TestList [ aeTests
, apkTests
, aucTests
, ceTests
, f1Tests
, levenshteinTests
, llTests
, logLossTests
Expand Down
2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -20,7 +20,7 @@ EVALUATION METRICS
<tr><td>Average Precision at K (APK, AP@K)</td><td>&#10003;</td><td>&#10003;</td><td>&#10003;</td><td>&#10003;</td></tr>
<tr><td>Area Under the ROC (AUC)</td><td>&#10003;</td><td>&#10003;</td><td>&#10003;</td><td>&#10003;</td></tr>
<tr><td>Classification Error (CE)</td><td>&#10003;</td><td>&#10003;</td><td>&#10003;</td><td>&#10003;</td></tr>
<tr><td>F1 Score (F1)</td><td> </td><td>&#10003;</td><td> </td><td></td></tr>
<tr><td>F1 Score (F1)</td><td> </td><td>&#10003;</td><td>&#10003;</td><td></td></tr>
<tr><td>Gini</td><td> </td><td> </td><td> </td><td>&#10003;</td></tr>
<tr><td>Levenshtein</td><td>&#10003;</td><td> </td><td>&#10003;</td><td>&#10003;</td></tr>
<tr><td>Log Loss (LL)</td><td>&#10003;</td><td>&#10003;</td><td>&#10003;</td><td>&#10003;</td></tr>
Expand Down