Logistic Regression with Tensorflow
2018, Jul 18
- github : Logistic Regression with Tensorflow
- data : data
import tensorflow as tf
import numpy as np
set random seed
tf.set_random_seed(777)
load data
data = np.loadtxt("./data/diabetes.csv", delimiter=',', dtype=np.float32)
x_data = data[:,0:-1]
y_data = data[:,[-1]]
print(x_data.shape, y_data.shape)
(759, 8) (759, 1)
placeholders for a tensor that will be always fed.
X = tf.placeholder(tf.float32, shape = [None, 8])
Y = tf.placeholder(tf.float32, shape = [None, 1])
Weight and bias
W = tf.Variable(tf.random_normal([8,1]), name = "weight")
b = tf.Variable(tf.random_normal([1]), name = "bias")
Hypothesis using sigmoid:
- tf.div(1., 1. + tf.exp(tf.matmul(X, W)))
hypothesis = tf.sigmoid(tf.matmul(X, W) + b)
loss function
- loss = -tf.reduce_mean(Y * tf.log(hypothesis) + (1 - Y) * tf.log(1 - hypothesis))
loss = tf.nn.sigmoid_cross_entropy_with_logits(logits = hypothesis, labels = Y)
Optimize
train = tf.train.GradientDescentOptimizer(learning_rate=0.01).minimize(loss)
Accuracy computation
True if hypothesis > 0.5 else False
predicted = tf.cast(hypothesis > 0.5, dtype = tf.float32)
accuracy = tf.reduce_mean(tf.cast(tf.equal(Y, predicted), dtype = tf.float32))
Launch graph
with tf.Session() as sess:
# Initialize Tensorflow variables
sess.run(tf.global_variables_initializer())
for epoch in range(10001):
_, _loss = sess.run([train, loss], feed_dict = {X:x_data, Y:y_data})
if epoch % 1000 == 0:
print("epoch : ", epoch, ", loss : ", _loss)
# Accuracy
_hypothesis, correct, accuracy = sess.run([hypothesis, predicted, accuracy],
feed_dict = {X:x_data, Y:y_data})
print("\nHypothesis : ", _hypothesis, "\nCorrect : ", correct, "\nAccuracy : ", accuracy)
epoch : 0 , loss : [[ 1.01896524]
[ 0.36805025]
[ 1.06159937]
[ 0.37130538]
[ 1.24708009]
[ 0.40510315]
[ 1.269292 ]
[ 0.35934043]
[ 0.87594682]
[ 0.8985762 ]
[ 0.44905826]
[ 1.05439782]
[ 0.49844423]
[ 0.89178741]
[ 1.17960954]
[ 1.12085152]
[ 1.12436652]
[ 0.32773337]
[ 1.17507541]
[ 0.42111856]
[ 0.45003229]
[ 0.87987208]
[ 1.13227296]
[ 1.19459319]
[ 1.01644516]
[ 0.34301779]
[ 0.40892547]
[ 0.47483772]
[ 0.43999466]
[ 1.08035231]
[ 0.32890406]
[ 0.42953873]
[ 0.41216266]
[ 0.3560603 ]
[ 0.41076779]
[ 1.0993855 ]
[ 1.16733384]
[ 1.0325079 ]
[ 0.36887437]
[ 0.45139563]
[ 0.44264615]
[ 0.86731505]
[ 0.42304367]
[ 1.1062758 ]
[ 0.39607906]
[ 0.35477963]
[ 1.19649363]
[ 0.35759366]
[ 0.35736585]
[ 0.33119604]
[ 0.33901465]
[ 0.89515209]
[ 0.4102416 ]
[ 0.35234001]
[ 1.05628228]
[ 0.39856315]
[ 0.47992209]
[ 0.33918121]
[ 0.40303072]
[ 1.0774802 ]
[ 0.35735393]
[ 0.35738778]
[ 1.11312163]
[ 0.37605259]
[ 1.07011819]
[ 0.52800536]
[ 0.3406069 ]
[ 0.39548793]
[ 1.22603393]
[ 0.35977623]
[ 1.02403736]
[ 0.38521817]
[ 0.36743268]
[ 0.33751336]
[ 0.39259228]
[ 0.36661625]
[ 1.18639064]
[ 0.3634508 ]
[ 0.3331008 ]
[ 0.35353294]
[ 0.35764942]
[ 0.34640768]
[ 0.88307947]
[ 0.36699522]
[ 0.3937023 ]
[ 0.34620589]
[ 1.20081127]
[ 0.36357662]
[ 0.39560074]
[ 0.37940326]
[ 0.36473778]
[ 0.94158477]
[ 0.43823174]
[ 0.39117858]
[ 0.35169023]
[ 0.32576835]
[ 0.32785454]
[ 1.02557135]
[ 0.9889102 ]
[ 0.39347926]
[ 0.51885015]
[ 0.34264266]
[ 0.37324673]
[ 0.3846249 ]
[ 0.55076289]
[ 0.36310461]
[ 0.33313668]
[ 1.222193 ]
[ 1.13657594]
[ 1.10345304]
[ 0.35516673]
[ 0.35596171]
[ 1.18448877]
[ 0.8326093 ]
[ 1.0618825 ]
[ 0.34061572]
[ 0.34516537]
[ 0.37862116]
[ 1.13102412]
[ 0.35937688]
[ 0.35819533]
[ 0.5356797 ]
[ 1.15006185]
[ 1.28421843]
[ 0.36339718]
[ 0.34661895]
[ 1.06655657]
[ 0.94318056]
[ 1.14348269]
[ 1.17799854]
[ 1.12727189]
[ 0.37254262]
[ 0.34321415]
[ 0.34975463]
[ 0.36498544]
[ 0.33036304]
[ 0.41563776]
[ 0.36284223]
[ 0.50184393]
[ 0.40781748]
[ 0.33287853]
[ 1.14128089]
[ 0.36472428]
[ 0.39849558]
[ 0.37434995]
[ 0.36695638]
[ 0.52820778]
[ 0.35359675]
[ 0.3993929 ]
[ 0.4032698 ]
[ 1.05129492]
[ 0.45180202]
[ 0.96368551]
[ 0.99675465]
[ 0.35098708]
[ 0.34068602]
[ 0.34361896]
[ 1.14252102]
[ 0.48387566]
[ 0.37808591]
[ 0.36870751]
[ 0.39502001]
[ 1.01972508]
[ 1.17865396]
[ 0.37418643]
[ 0.40777525]
[ 0.38478988]
[ 0.37956497]
[ 1.06602728]
[ 1.19952071]
[ 0.3505666 ]
[ 0.33906576]
[ 0.34186748]
[ 1.08885002]
[ 0.4139964 ]
[ 1.03862953]
[ 0.46847686]
[ 1.00486636]
[ 0.40066621]
[ 0.33587554]
[ 0.38549194]
[ 0.35348669]
[ 0.451024 ]
[ 1.03760815]
[ 0.94464457]
[ 0.9837836 ]
[ 1.179245 ]
[ 1.1381011 ]
[ 0.42422101]
[ 0.3730123 ]
[ 1.07210708]
[ 1.15485668]
[ 0.3453348 ]
[ 1.06160998]
[ 0.41697377]
[ 1.25162709]
[ 1.20777249]
[ 1.1826427 ]
[ 0.4144859 ]
[ 0.45027149]
[ 0.36024198]
[ 0.3466734 ]
[ 0.39455998]
[ 0.37468302]
[ 0.95865864]
[ 0.81501186]
[ 0.37300512]
[ 0.96101642]
[ 0.34546262]
[ 0.42813447]
[ 0.56025684]
[ 1.23269129]
[ 1.15579724]
[ 1.14272153]
[ 1.22539902]
[ 0.36058182]
[ 1.16934085]
[ 1.10895586]
[ 1.05306363]
[ 0.80024624]
[ 0.38396743]
[ 0.40727332]
[ 0.34460887]
[ 0.35072583]
[ 0.37777436]
[ 1.17270529]
[ 0.50660193]
[ 0.35170487]
[ 1.03463364]
[ 1.03946245]
[ 0.35376418]
[ 0.39434227]
[ 0.33763856]
[ 1.05241787]
[ 1.04465973]
[ 1.06198835]
[ 0.39004058]
[ 0.3927471 ]
[ 0.34441224]
[ 1.17163777]
[ 1.24109149]
[ 0.39916015]
[ 0.95781064]
[ 0.39595175]
[ 0.4510946 ]
[ 0.3747879 ]
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[ 0.36284339]
[ 0.4486196 ]
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[ 0.34766752]
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[ 0.364416 ]
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[ 0.39201248]
[ 1.11977232]
[ 0.36426282]
[ 0.4848786 ]
[ 1.12530565]
[ 0.36470476]
[ 1.16894603]
[ 0.38371876]
[ 0.38261405]
[ 1.10894632]
[ 1.09403217]
[ 0.37593076]
[ 0.45478648]
[ 0.40773106]
[ 0.39931169]
[ 0.36353555]
[ 1.22158182]
[ 0.33532333]
[ 0.47446555]
[ 0.3443346 ]
[ 1.12115097]
[ 0.37021127]
[ 0.39404821]
[ 0.91858792]
[ 0.95850086]
[ 0.47924769]
[ 1.07486701]
[ 0.33195728]
[ 0.36675334]
[ 0.38538083]
[ 1.25270188]
[ 1.10397458]
[ 1.22471511]
[ 0.43902794]
[ 0.35792214]
[ 1.09573925]
[ 0.37515619]
[ 1.19145155]
[ 0.45577562]
[ 1.11552393]
[ 1.20433557]
[ 0.36797115]
[ 1.00831437]
[ 0.4654997 ]
[ 0.37773815]
[ 1.14272821]
[ 0.3747606 ]
[ 1.21995401]
[ 1.16774583]
[ 0.3671616 ]
[ 0.34540609]
[ 1.15710056]
[ 0.33024579]
[ 1.07388473]
[ 0.3501215 ]
[ 0.35872394]
[ 0.9937979 ]
[ 0.3588427 ]
[ 0.85571992]
[ 0.35030937]
[ 1.15297568]
[ 1.16788018]
[ 1.07859051]
[ 0.43803823]
[ 0.37950575]
[ 1.18298626]
[ 0.43047562]
[ 1.16087461]
[ 0.35808948]
[ 0.40179092]
[ 0.33121023]
[ 1.01045251]
[ 0.41531864]
[ 0.33534008]
[ 0.3910957 ]
[ 0.3924152 ]
[ 1.03304744]
[ 1.12298274]
[ 0.93573904]
[ 0.35456485]
[ 0.36775622]
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[ 0.44617319]
[ 0.42855099]
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[ 0.33531642]
[ 0.37281525]
[ 0.33904174]
[ 1.11223626]
[ 0.39884996]
[ 0.45129603]
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[ 0.44839692]
[ 0.90797019]
[ 1.21414781]
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[ 0.36128265]
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[ 0.50826275]
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[ 0.33525175]
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[ 0.37225446]
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[ 0.40544429]
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[ 0.88059926]
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[ 0.34532887]
[ 1.13005316]
[ 1.20730424]
[ 1.0735805 ]
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[ 1.25063133]
[ 0.34542084]
[ 0.33641613]
[ 1.09693134]
[ 0.34108591]
[ 0.49639899]
[ 0.33535054]
[ 1.15909231]
[ 0.46003219]
[ 0.33937782]
[ 0.46542001]
[ 0.37321129]
[ 0.36515617]
[ 0.35069969]
[ 0.38976851]
[ 0.47046947]
[ 0.35107133]
[ 0.32122466]
[ 0.33828032]
[ 1.1490159 ]
[ 0.39124328]
[ 0.44591177]
[ 0.3702631 ]
[ 0.34979787]
[ 0.50891197]
[ 0.37379509]
[ 0.4753336 ]
[ 1.11474681]
[ 0.35721433]
[ 0.3779487 ]
[ 0.51950127]
[ 1.09245133]
[ 0.41120604]
[ 0.33290541]
[ 0.34772024]
[ 1.15139318]
[ 1.19557106]
[ 0.44561112]
[ 0.473557 ]
[ 0.36385858]
[ 0.57301462]
[ 0.33977383]
[ 0.44205701]
[ 0.3767117 ]
[ 1.14426506]
[ 0.35397372]
[ 0.53482181]
[ 0.38822934]
[ 0.34226835]
[ 1.00716054]
[ 0.40950957]
[ 0.43867439]
[ 0.36692986]
[ 1.13328886]
[ 0.34796068]
[ 0.41344842]
[ 0.39223599]
[ 1.05786812]
[ 0.39034167]
[ 0.34752578]
[ 0.49269295]
[ 1.17378688]
[ 0.37269273]
[ 0.415815 ]
[ 0.36524364]
[ 0.33161631]
[ 1.1700232 ]
[ 0.99595165]
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[ 0.4713107 ]
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[ 1.06860912]
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[ 0.36060971]
[ 0.36470199]
[ 0.33527169]
[ 1.16101003]
[ 0.46231237]
[ 0.39903203]
[ 0.37309527]
[ 1.00902331]
[ 1.1492722 ]
[ 1.17500186]
[ 1.04576159]
[ 0.36050352]
[ 0.36423215]
[ 0.98376447]
[ 0.98098463]
[ 0.35708758]
[ 0.48571163]
[ 0.57892448]
[ 0.43087149]
[ 0.3450352 ]
[ 0.53277606]
[ 0.33729261]
[ 0.34257495]
[ 0.3748647 ]
[ 0.3842288 ]
[ 0.45742646]
[ 0.36975318]
[ 0.37498701]
[ 0.98883975]
[ 1.13457465]
[ 0.34726399]
[ 0.3369714 ]
[ 0.38593933]
[ 0.33087167]
[ 0.38672537]
[ 0.35488838]
[ 0.39403468]
[ 1.21432769]
[ 0.39374828]
[ 0.5558762 ]
[ 0.33853865]
[ 0.33460176]
[ 0.43054956]
[ 0.33847329]
[ 0.33259201]
[ 0.9547866 ]
[ 0.39501631]
[ 0.7780205 ]
[ 0.92176396]
[ 0.35155702]
[ 0.42194119]
[ 0.40630376]
[ 1.02623582]
[ 0.34056702]
[ 1.09010041]
[ 0.37606487]
[ 0.92969942]
[ 0.34781867]
[ 1.06712627]
[ 0.38284937]
[ 0.97110206]
[ 0.33368295]
[ 0.38933581]
[ 1.1371305 ]
[ 0.38868335]
[ 0.32704228]
[ 0.96133697]
[ 0.32810926]
[ 0.40531147]
[ 0.36292091]
[ 0.40929785]
[ 1.04732907]
[ 1.04070783]
[ 0.41337177]
[ 1.0227921 ]
[ 0.34164137]
[ 0.39850506]
[ 0.34291026]
[ 0.33491272]
[ 1.15588892]
[ 0.96018958]
[ 0.38264722]
[ 1.13673675]
[ 0.3954114 ]
[ 0.4624058 ]
[ 0.32952118]
[ 1.05141389]
[ 1.1982733 ]
[ 0.40248841]
[ 0.38509399]
[ 0.5634383 ]
[ 0.36198366]
[ 0.42800704]
[ 0.38590524]
[ 0.42742333]
[ 0.46137547]
[ 0.46176738]
[ 0.38611752]
[ 1.14007008]
[ 0.35374662]
[ 0.37155667]
[ 0.37732419]
[ 0.35674998]
[ 1.15038502]
[ 0.43407393]
[ 0.34952086]
[ 1.20086586]
[ 0.35216016]
[ 0.3583003 ]
[ 0.39283291]
[ 0.94753408]
[ 0.37049446]
[ 0.36220026]
[ 0.42451245]
[ 1.10251367]
[ 1.2316587 ]
[ 1.10596824]
[ 0.34189168]
[ 0.33395413]
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[ 0.36857188]
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[ 0.34078586]
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[ 0.97876692]
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[ 1.16008627]
[ 0.38696596]
[ 0.91278809]
[ 1.16761565]
[ 0.35342652]
[ 0.40272158]
[ 0.40988323]
[ 0.376445 ]
[ 0.40096924]
[ 0.42688748]
[ 0.48651183]
[ 1.01339459]
[ 0.91020262]
[ 0.34971583]
[ 1.19752133]
[ 0.34124196]
[ 0.3280552 ]
[ 1.11732006]
[ 0.33540741]
[ 1.06064105]
[ 0.54710913]
[ 0.3749159 ]
[ 0.38528433]
[ 0.34558401]
[ 0.3834556 ]
[ 0.98565537]
[ 0.41719833]
[ 0.85517949]
[ 0.36005199]
[ 1.13398397]
[ 0.36468628]
[ 0.99159956]
[ 1.12984776]
[ 0.35202506]
[ 0.38284129]
[ 0.39130452]
[ 0.37546474]
[ 1.03005457]
[ 0.87018621]
[ 0.41102201]
[ 0.35609353]
[ 0.37237281]
[ 1.19246578]
[ 0.33721164]
[ 0.9840818 ]
[ 1.23053885]
[ 0.36755013]
[ 0.3839013 ]
[ 1.17550611]
[ 0.37041983]
[ 0.40497807]
[ 1.15400898]
[ 1.03967464]
[ 0.39019415]
[ 0.35584897]
[ 1.08012247]
[ 0.39145803]
[ 0.40252793]
[ 1.10366309]
[ 0.40441474]
[ 0.51584375]
[ 0.41671127]
[ 0.37779886]
[ 0.39138824]
[ 0.49238592]
[ 0.34951898]
[ 1.14588284]
[ 1.0915103 ]
[ 1.04095471]
[ 0.33930036]
[ 0.47291493]
[ 0.35249481]
[ 0.42164734]
[ 0.36179906]
[ 0.36241192]
[ 1.04711747]
[ 1.11731064]
[ 0.32788077]
[ 0.33761114]
[ 0.92275751]
[ 0.41561326]
[ 0.38138762]
[ 0.96729517]
[ 0.36628985]
[ 1.08938432]
[ 1.01770782]
[ 1.10408258]
[ 0.38367909]
[ 0.35573193]
[ 0.98960781]
[ 1.02634108]
[ 1.02431762]
[ 0.46827936]
[ 1.04317164]
[ 0.40532637]
[ 0.79439223]
[ 0.33365059]
[ 1.05555487]
[ 0.36079699]
[ 0.42150825]
[ 0.37975872]
[ 0.35957956]
[ 1.05498242]
[ 0.36755562]]
epoch : 1000 , loss : [[ 0.70495331]
[ 0.31362575]
[ 0.69351721]
[ 0.31331164]
[ 0.69316185]
[ 0.34194803]
[ 1.31290984]
[ 0.54194701]
[ 0.6941852 ]
[ 0.86209899]
[ 0.38915902]
[ 0.69327903]
[ 0.69220644]
[ 0.69399047]
[ 1.17852569]
[ 0.71679819]
[ 1.19630063]
[ 0.32003769]
[ 1.27049065]
[ 0.60810119]
[ 0.393289 ]
[ 0.69316649]
[ 1.01031685]
[ 1.12147331]
[ 0.70118988]
[ 0.3135269 ]
[ 0.48771495]
[ 0.45463616]
[ 0.38886207]
[ 0.70207393]
[ 0.31332746]
[ 0.31445932]
[ 0.53925622]
[ 0.32867867]
[ 0.68477774]
[ 0.98644221]
[ 1.26754987]
[ 0.7543903 ]
[ 0.6786198 ]
[ 0.68785566]
[ 0.31690308]
[ 0.69327319]
[ 0.67856103]
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[ 1.16064 ]
[ 0.31502077]]
epoch : 2000 , loss : [[ 0.69707406]
[ 0.31341156]
[ 0.69322735]
[ 0.3132737 ]
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[ 1.13352215]
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epoch : 3000 , loss : [[ 0.69496524]
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epoch : 4000 , loss : [[ 0.69414014]
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epoch : 5000 , loss : [[ 0.69375145]
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epoch : 6000 , loss : [[ 0.69354427]
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epoch : 7000 , loss : [[ 0.69342333]
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epoch : 8000 , loss : [[ 0.69334799]
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epoch : 9000 , loss : [[ 0.69329828]
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[ 0.6936394 ]
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epoch : 10000 , loss : [[ 0.69326413]
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[ 0.69314718]
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[ 0.3187207 ]
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[ 0.31333071]
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[ 0.69314718]
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[ 0.68691045]
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[ 0.32660839]
[ 0.94361389]
[ 1.24516535]
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[ 0.6931445 ]
[ 0.69304007]
[ 0.69420278]
[ 0.32387248]
[ 0.47850686]
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[ 0.66915345]
[ 0.32213849]
[ 1.28255367]
[ 0.3180522 ]
[ 0.36104959]
[ 0.31756255]
[ 0.6931622 ]
[ 0.66178954]
[ 0.40779841]
[ 0.69393879]
[ 1.31300414]
[ 0.69314456]
[ 0.7199744 ]
[ 0.3132624 ]
[ 0.31539127]
[ 0.3133013 ]
[ 0.75413084]
[ 0.69340533]
[ 0.70672399]
[ 0.69241482]
[ 0.69302201]
[ 0.8402524 ]
[ 0.62345612]
[ 0.79761982]
[ 0.51946366]
[ 0.69314724]
[ 0.83147329]
[ 0.31326237]
[ 0.69657201]
[ 0.39414391]
[ 0.32100245]
[ 0.69522679]
[ 0.3444435 ]
[ 0.69320977]
[ 0.85279828]
[ 0.31328025]
[ 0.64777994]
[ 1.04367638]
[ 0.3178539 ]
[ 0.69475687]
[ 0.31373847]
[ 0.31326175]
[ 0.6931625 ]
[ 0.31901431]
[ 0.69319195]
[ 0.39399666]
[ 1.3026278 ]
[ 0.88784111]
[ 0.69348669]
[ 0.3159374 ]
[ 0.33583862]
[ 1.1169045 ]
[ 0.69314706]
[ 1.31090367]
[ 0.31334278]
[ 0.69191766]
[ 0.31326246]
[ 0.6931479 ]
[ 0.32531255]
[ 0.31326184]
[ 0.69314706]
[ 0.69290262]
[ 1.19664037]
[ 0.69315493]
[ 0.6931473 ]
[ 0.31424761]
[ 0.31326362]
[ 0.31396362]
[ 0.5171476 ]
[ 0.44414091]
[ 0.57652646]
[ 0.47228763]
[ 0.31446826]
[ 0.31326225]
[ 1.14741075]
[ 0.32491508]
[ 0.58718824]
[ 0.31326193]
[ 0.31326285]
[ 0.33992442]
[ 0.69318444]
[ 0.74615663]
[ 0.69314903]
[ 0.3179177 ]
[ 0.69314724]
[ 0.69314742]
[ 0.68964607]
[ 0.31770524]
[ 0.69361752]
[ 0.68720901]
[ 0.31585085]
[ 0.91562307]
[ 0.31362477]
[ 0.31326175]
[ 1.31180882]
[ 0.69314718]
[ 0.69309932]
[ 0.31423458]
[ 0.31349295]
[ 0.64350629]
[ 0.6931572 ]
[ 0.31329718]
[ 0.31331271]
[ 0.69315022]
[ 0.5942452 ]
[ 0.31415933]
[ 0.31434661]
[ 0.31391865]
[ 0.3133724 ]
[ 0.3132979 ]
[ 0.31326717]
[ 0.79851562]
[ 0.86991715]
[ 0.73474193]
[ 0.31657189]
[ 0.31331789]
[ 0.69314742]
[ 0.31713736]
[ 0.31331334]
[ 0.69316155]
[ 0.69220442]
[ 0.31351966]
[ 0.69559854]
[ 0.31326318]
[ 0.69314784]
[ 1.31167495]
[ 1.02589285]
[ 0.31336501]
[ 0.69323111]
[ 0.66035467]
[ 1.27263165]
[ 0.31811455]
[ 0.69314718]
[ 0.69314724]
[ 0.49571466]
[ 0.31606397]
[ 0.69310236]
[ 0.313885 ]
[ 0.69444919]
[ 0.69317389]
[ 0.32283366]
[ 0.69350171]
[ 0.31326252]
[ 1.31017077]
[ 0.47566938]
[ 0.31326297]
[ 0.47344142]
[ 0.32207057]
[ 0.69315547]
[ 0.69315279]
[ 0.37175342]
[ 0.69344229]
[ 0.68787783]
[ 1.31325102]
[ 0.31326875]
[ 0.31326732]
[ 0.3132619 ]
[ 0.34572765]
[ 0.31384385]
[ 0.69315791]
[ 0.69309723]
[ 0.69089448]
[ 0.31326178]
[ 0.64677644]
[ 0.69314724]
[ 0.31326422]
[ 0.31721929]
[ 0.70058322]
[ 1.19878352]
[ 0.69314718]
[ 0.31326604]
[ 0.31710956]
[ 1.19140673]
[ 0.33485198]
[ 0.31326169]
[ 0.78214455]
[ 0.36319315]
[ 0.31865031]
[ 0.31567544]
[ 0.69314724]
[ 0.56455559]
[ 0.31326938]
[ 0.36824471]
[ 0.32443371]
[ 0.31326181]
[ 0.31357992]
[ 0.31328842]
[ 0.67384303]
[ 0.32389101]
[ 0.31326422]
[ 0.4080911 ]
[ 0.83791959]
[ 0.69314229]
[ 0.69270259]
[ 0.69126642]
[ 0.68958825]
[ 0.59536052]
[ 0.3201659 ]
[ 0.59974903]
[ 1.30347419]
[ 0.31406885]
[ 0.31692016]
[ 0.37392694]
[ 0.69404775]
[ 0.65399718]
[ 0.31326258]
[ 0.31370768]
[ 0.6931473 ]
[ 0.69324785]
[ 0.69229323]
[ 0.69314718]
[ 0.31336406]
[ 0.69314694]
[ 0.31331438]
[ 0.31328073]
[ 0.3141644 ]
[ 0.80960375]
[ 0.31331131]
[ 0.69229138]
[ 0.31790775]
[ 0.31326246]
[ 0.69324625]
[ 0.69278401]
[ 0.31326485]
[ 0.31352523]
[ 0.73606932]
[ 0.31947738]
[ 0.3144742 ]
[ 0.31407842]
[ 0.69315588]
[ 0.33640763]
[ 0.31333047]
[ 0.3806631 ]
[ 1.2963562 ]
[ 0.38206312]
[ 0.31346253]
[ 0.3134954 ]
[ 0.31326357]
[ 0.71989822]
[ 0.69448537]
[ 0.32656282]
[ 0.31745729]
[ 0.31326169]
[ 0.31892273]
[ 0.49304083]
[ 0.69331467]
[ 0.42102554]
[ 0.313265 ]
[ 0.31326169]
[ 0.31327751]
[ 0.55008692]
[ 0.57018602]
[ 0.33687553]
[ 0.69298702]
[ 0.31607658]
[ 0.32046884]
[ 0.31360397]
[ 0.71800017]
[ 0.31974235]
[ 0.31326619]
[ 0.69250393]
[ 0.71860355]
[ 0.84070957]
[ 1.07043111]
[ 0.85770625]
[ 0.31326559]
[ 0.31326231]
[ 0.69314802]
[ 0.69314718]
[ 0.34520501]
[ 0.58781397]
[ 0.69314116]
[ 0.31347844]
[ 0.3132804 ]
[ 0.31586236]
[ 0.31326258]
[ 0.31327572]
[ 0.31871799]
[ 0.31422147]
[ 0.32589829]
[ 0.68966073]
[ 0.3213357 ]
[ 0.96394658]
[ 0.69314718]
[ 0.31327629]
[ 0.31339496]
[ 0.3875891 ]
[ 0.31330404]
[ 0.3133001 ]
[ 0.31327891]
[ 0.64699298]
[ 0.9503845 ]
[ 0.31327641]
[ 0.3137773 ]
[ 0.31374022]
[ 0.31329826]
[ 0.67632467]
[ 0.31970754]
[ 0.3273634 ]
[ 0.70849478]
[ 0.68330556]
[ 0.69314724]
[ 0.69315392]
[ 0.31658259]
[ 0.54884934]
[ 0.42516539]
[ 0.69659656]
[ 0.3132697 ]
[ 0.69384092]
[ 0.31433895]
[ 0.69315171]
[ 0.31327844]
[ 0.69315171]
[ 0.31535926]
[ 0.77474195]
[ 0.32874766]
[ 0.66919643]
[ 0.69314724]
[ 0.31731993]
[ 0.31326589]
[ 0.69344568]
[ 0.31328952]
[ 0.3133797 ]
[ 0.31345943]
[ 0.31428802]
[ 0.69367301]
[ 0.6931681 ]
[ 0.54289055]
[ 0.69314718]
[ 0.31326178]
[ 0.69312477]
[ 0.31326509]
[ 0.31362236]
[ 0.69318646]
[ 0.69314742]
[ 0.61044222]
[ 0.69349903]
[ 0.31347579]
[ 0.32010719]
[ 0.31326169]
[ 0.69532615]
[ 0.74214935]
[ 0.31461692]
[ 0.39555284]
[ 0.69314718]
[ 0.34966978]
[ 0.31380951]
[ 0.31330559]
[ 0.43491393]
[ 0.68865275]
[ 0.51876736]
[ 0.31326887]
[ 0.74819213]
[ 0.31703192]
[ 0.31540048]
[ 0.31336227]
[ 0.31599072]
[ 0.71012008]
[ 0.31383696]
[ 0.31329155]
[ 0.88611567]
[ 0.31326169]
[ 0.31941238]
[ 0.64186251]
[ 0.71701711]
[ 0.31484425]
[ 0.31374028]
[ 0.69242406]
[ 0.92289817]
[ 0.69314724]
[ 0.80662203]
[ 0.32792336]
[ 0.3132619 ]
[ 0.31634513]
[ 0.33184975]
[ 0.35485253]
[ 0.31329739]
[ 0.69320357]
[ 0.31326208]
[ 0.67071611]
[ 1.3103807 ]
[ 0.69293761]
[ 0.69314718]
[ 0.69332135]
[ 0.693232 ]
[ 0.93456829]
[ 0.31343386]
[ 0.80097175]
[ 1.20042074]
[ 0.31768915]
[ 0.67897087]
[ 0.69309467]
[ 0.31333256]
[ 0.31326285]
[ 0.69311643]
[ 0.35307497]
[ 0.6931473 ]
[ 0.69643754]
[ 0.40843952]
[ 0.9018231 ]
[ 0.31338376]
[ 0.31326169]
[ 0.69314718]
[ 0.50601518]
[ 0.7674306 ]
[ 0.68702292]
[ 0.43744776]
[ 0.3458961 ]
[ 0.31353429]
[ 0.3965058 ]
[ 0.70373607]
[ 0.50393707]
[ 0.69314766]
[ 0.62516719]
[ 0.70767385]
[ 0.31326541]
[ 0.73395157]
[ 0.71149385]
[ 0.32018036]
[ 0.42327619]
[ 0.69305182]
[ 0.3564105 ]
[ 0.87961376]
[ 0.69316781]
[ 0.65660226]
[ 0.31328237]
[ 0.31423348]
[ 0.705428 ]
[ 0.44503814]
[ 0.69317353]
[ 1.30617213]
[ 0.69069153]
[ 0.31812042]
[ 0.69316667]
[ 0.62174928]
[ 0.31342414]
[ 0.69314718]
[ 0.69315189]
[ 0.31739756]
[ 0.31583649]
[ 1.29860425]
[ 0.3132697 ]
[ 0.31583998]
[ 1.18244374]
[ 0.32494968]
[ 0.31369838]
[ 0.41706946]
[ 0.31978694]
[ 0.69264662]
[ 0.68802476]
[ 0.31335175]
[ 1.30955172]
[ 0.98763794]
[ 0.69315135]
[ 0.31352058]
[ 0.31341699]
[ 0.31874767]
[ 0.36101398]
[ 0.31345931]
[ 0.31361812]
[ 1.30040169]
[ 0.69334823]
[ 0.31357267]
[ 0.31327942]
[ 0.69324988]
[ 0.69314718]
[ 0.32504883]
[ 0.69328809]
[ 0.32451734]
[ 0.69315338]
[ 0.69637853]
[ 0.69320214]
[ 0.31666291]
[ 0.31373084]
[ 0.69314718]
[ 0.69321686]
[ 0.79545349]
[ 0.68342054]
[ 0.70423877]
[ 0.31681448]
[ 0.69314808]
[ 0.31327567]
[ 0.69314724]
[ 0.31341484]
[ 0.31599247]
[ 0.49630111]
[ 0.31381944]
[ 1.21680951]
[ 0.31330982]]
Hypothesis : [[ 2.33831975e-04]
[ 9.99989510e-01]
[ 5.77958133e-07]
[ 9.99999881e-01]
[ 3.79488663e-11]
[ 9.83398199e-01]
[ 9.99997020e-01]
[ 3.05846930e-02]
[ 7.34401783e-06]
[ 2.69792616e-01]
[ 9.24416065e-01]
[ 4.57627358e-08]
[ 3.45229955e-06]
[ 6.00269345e-07]
[ 7.68781126e-01]
[ 1.37284840e-03]
[ 9.22589600e-01]
[ 9.80071664e-01]
[ 9.92088258e-01]
[ 6.84679672e-02]
[ 7.90121078e-01]
[ 5.40701750e-09]
[ 3.63133579e-01]
[ 5.81058204e-01]
[ 1.74381799e-04]
[ 9.99995708e-01]
[ 2.46780902e-01]
[ 7.22020149e-01]
[ 5.88476717e-01]
[ 4.56981477e-04]
[ 9.99999285e-01]
[ 9.99989033e-01]
[ 6.34518117e-02]
[ 9.85631227e-01]
[ 1.42418270e-04]
[ 1.87454209e-01]
[ 9.79218006e-01]
[ 1.09717511e-02]
[ 6.23522908e-04]
[ 1.00795856e-04]
[ 9.99591291e-01]
[ 1.52440521e-07]
[ 5.77858998e-04]
[ 6.12901792e-14]
[ 1.27382232e-02]
[ 9.99985814e-01]
[ 2.19803914e-01]
[ 4.76808876e-01]
[ 9.99999285e-01]
[ 9.99984980e-01]
[ 9.99998212e-01]
[ 1.07941050e-05]
[ 2.71681965e-05]
[ 9.99999881e-01]
[ 3.33291325e-07]
[ 5.11487434e-03]
[ 8.19596613e-10]
[ 4.82679725e-01]
[ 9.99805510e-01]
[ 1.00544803e-02]
[ 9.99999642e-01]
[ 4.77053165e-01]
[ 4.26857561e-01]
[ 9.98601973e-01]
[ 4.22492996e-02]
[ 1.29349023e-01]
[ 9.99999881e-01]
[ 8.94101322e-01]
[ 9.93678629e-01]
[ 3.38044494e-01]
[ 5.94971743e-06]
[ 7.35219419e-01]
[ 9.99970675e-01]
[ 9.99938011e-01]
[ 9.99937296e-01]
[ 9.10095811e-01]
[ 6.18914710e-05]
[ 9.98182178e-01]
[ 9.98312712e-01]
[ 9.99983788e-01]
[ 9.99668837e-01]
[ 9.85116720e-01]
[ 1.01154763e-03]
[ 9.88800764e-01]
[ 2.75820475e-02]
[ 9.99162555e-01]
[ 6.21208979e-04]
[ 9.99827743e-01]
[ 9.99999881e-01]
[ 9.47618067e-01]
[ 9.96223450e-01]
[ 9.08999383e-01]
[ 9.47982907e-01]
[ 4.44488153e-02]
[ 9.99817073e-01]
[ 1.00000000e+00]
[ 9.99626160e-01]
[ 2.00643316e-01]
[ 2.85845289e-07]
[ 2.60341257e-01]
[ 9.32035744e-01]
[ 1.00000000e+00]
[ 6.83851004e-01]
[ 8.95664930e-01]
[ 9.99999642e-01]
[ 4.44820285e-01]
[ 9.99983549e-01]
[ 9.96737182e-01]
[ 5.41877002e-03]
[ 5.90171703e-06]
[ 9.99999404e-01]
[ 9.99114454e-01]
[ 1.54164212e-04]
[ 2.66239885e-02]
[ 3.48693311e-01]
[ 9.60792899e-01]
[ 9.93802190e-01]
[ 9.99999404e-01]
[ 4.85791585e-09]
[ 4.82229441e-01]
[ 9.98992145e-01]
[ 9.07315493e-01]
[ 1.76093742e-01]
[ 3.69136959e-01]
[ 3.26764464e-01]
[ 9.96326387e-01]
[ 9.98362005e-01]
[ 6.18107796e-01]
[ 2.64579454e-03]
[ 2.02946121e-05]
[ 3.46421351e-04]
[ 8.78925085e-01]
[ 9.99996901e-01]
[ 9.92063105e-01]
[ 9.89137948e-01]
[ 9.94323254e-01]
[ 1.39664905e-03]
[ 9.66972709e-01]
[ 9.96015728e-01]
[ 7.57558346e-01]
[ 9.98922765e-01]
[ 2.24676982e-01]
[ 7.59886159e-03]
[ 4.28407848e-01]
[ 9.99991655e-01]
[ 5.81632316e-01]
[ 2.11377051e-02]
[ 9.99991298e-01]
[ 2.82684892e-01]
[ 9.89935458e-01]
[ 2.21781534e-06]
[ 4.71278727e-05]
[ 2.82277068e-09]
[ 1.08405754e-06]
[ 9.99961019e-01]
[ 9.97502029e-01]
[ 9.99999404e-01]
[ 1.25658117e-09]
[ 5.16752154e-02]
[ 9.92199481e-01]
[ 4.61419038e-02]
[ 9.99204457e-01]
[ 1.09247037e-03]
[ 9.80471492e-01]
[ 1.59835164e-02]
[ 1.73663765e-01]
[ 7.27570713e-01]
[ 9.99799550e-01]
[ 9.92824554e-01]
[ 3.81096415e-02]
[ 9.97296512e-01]
[ 9.98698592e-01]
[ 9.99999762e-01]
[ 1.06480684e-06]
[ 9.98567045e-01]
[ 2.79929418e-06]
[ 3.90940288e-04]
[ 1.50122985e-04]
[ 9.99987364e-01]
[ 3.37973312e-02]
[ 9.99999285e-01]
[ 9.99973893e-01]
[ 2.99800187e-01]
[ 1.57008995e-09]
[ 1.86635830e-07]
[ 3.44984353e-01]
[ 9.37163115e-01]
[ 3.28982115e-01]
[ 9.99687672e-01]
[ 3.18836004e-01]
[ 9.17604921e-05]
[ 2.16993268e-08]
[ 9.99836445e-01]
[ 3.44702974e-04]
[ 9.99920845e-01]
[ 9.99780118e-01]
[ 5.19621909e-01]
[ 7.50778019e-02]
[ 3.72651592e-02]
[ 5.71975745e-02]
[ 1.61265269e-01]
[ 9.99999881e-01]
[ 9.77313817e-01]
[ 9.87583220e-01]
[ 9.65498526e-09]
[ 1.29960873e-03]
[ 9.99987602e-01]
[ 5.83617691e-07]
[ 9.99984980e-01]
[ 5.52462916e-06]
[ 4.17327865e-05]
[ 1.63025601e-04]
[ 8.59774828e-01]
[ 7.76555211e-08]
[ 8.12637150e-01]
[ 7.61331260e-01]
[ 8.57763708e-01]
[ 3.87170225e-01]
[ 1.00507414e-09]
[ 1.36540167e-03]
[ 8.27854991e-01]
[ 1.21816695e-02]
[ 9.99987364e-01]
[ 9.99999404e-01]
[ 6.38151169e-01]
[ 3.06630864e-06]
[ 9.56907732e-16]
[ 2.60377795e-01]
[ 3.45811532e-05]
[ 1.17218983e-03]
[ 9.99999881e-01]
[ 1.33217975e-01]
[ 9.99999762e-01]
[ 2.29074587e-07]
[ 1.39644296e-09]
[ 1.14859108e-06]
[ 9.79851663e-01]
[ 9.99984980e-01]
[ 9.99743521e-01]
[ 1.20893270e-01]
[ 1.18898880e-02]
[ 6.22347072e-02]
[ 3.85062471e-09]
[ 3.50658074e-02]
[ 3.72516740e-10]
[ 1.25099299e-02]
[ 9.99562681e-01]
[ 2.08451033e-01]
[ 9.35650706e-01]
[ 9.99999881e-01]
[ 9.51249599e-01]
[ 4.50565577e-01]
[ 9.05656517e-01]
[ 7.65513241e-01]
[ 9.98049736e-01]
[ 5.36425387e-06]
[ 2.14180589e-04]
[ 2.10979325e-03]
[ 9.61106181e-01]
[ 4.88335073e-01]
[ 5.44670582e-01]
[ 9.76129949e-01]
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[ 0.]
[ 0.]
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[ 1.]
[ 1.]]
Accuracy : 0.752306