Sane words challenge

Guess if a given word is a correct Polish word in a given domain. Additionally, you have the information on reported frequency of the word in source texts. [ver. 1.0.0]

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[anonymized]   2020-01-27 13:02
submitted a solution:16 neurons and 1 layer lr
[anonymized]   2019-12-17 16:52
submitted a solution:dlugosci+ fixed
[anonymized]   2019-12-04 21:56
submitted a solution:the best so far
[anonymized]   2019-12-04 19:29
submitted a solution:pytorch-nn more iterations
[anonymized]   2019-12-04 10:09
submitted a solution:dev-0 update
[anonymized]   2019-12-04 09:58
submitted a solution:dev-0 update
[anonymized]   2019-12-04 09:44
submitted a solution:ff network with tanh activation, batch size = 32 with 5000 epochs
[anonymized]   2019-12-04 09:39
submitted a solution:added frequency information
[anonymized]   2019-12-04 09:02
submitted a solution:torch-nn
[anonymized]   2019-12-04 08:58
submitted a solution:fasttext + nn
[anonymized]   2019-12-04 08:28
submitted a solution:Pytorch nn, minibatch, improved previous solution
[anonymized]   2019-12-04 08:16
submitted a solution:Pytorch nn, minibatch, improved previous solution
[anonymized]   2019-12-04 04:57
submitted a solution:pytorchNN
[anonymized]   2019-12-04 00:50
submitted a solution:NN pytorch
[anonymized]   2019-12-04 00:08
submitted a solution:sane_words_torch_nn_onehot
[anonymized]   2019-12-03 23:39
submitted a solution:Attempt #3
[anonymized]   2019-12-03 23:24
submitted a solution:test4
[anonymized]   2019-12-03 22:46
submitted a solution:Second try with torch nn
[anonymized]   2019-12-03 22:16
submitted a solution:test
[anonymized]   2019-12-03 22:09
submitted a solution:test
Artur Nowakowski   2019-12-03 21:43
submitted a solution:PyTorch simple NN
[anonymized]   2019-12-03 20:37
submitted a solution:with onehot
[anonymized]   2019-12-03 20:31
submitted a solution:pytorch neural network second solution
[anonymized]   2019-12-03 18:45
submitted a solution:Neural network 512x256 one hot word
[anonymized]   2019-12-03 17:01
submitted a solution:Test for nn
[anonymized]   2019-12-03 14:08
submitted a solution:Improve results
[anonymized]   2019-12-02 09:38
submitted a solution:torch.NN 1
[anonymized]   2019-12-01 00:47
submitted a solution:fixed regression
[anonymized]   2019-12-01 00:29
submitted a solution:regression
[anonymized]   2019-11-30 19:50
submitted a solution:very simple solution with torch.nn
[anonymized]   2019-11-30 18:59
submitted a solution:Neural net 512x256 one hot word
[anonymized]   2019-11-30 18:11
submitted a solution:test
[anonymized]   2019-11-30 17:58
submitted a solution:test
[anonymized]   2019-11-30 17:40
submitted a solution:test
[anonymized]   2019-11-29 14:26
submitted a solution:sane_words
[anonymized]   2019-11-29 13:57
submitted a solution:Sane words, with score
[anonymized]   2019-11-29 13:29
submitted a solution:Sane words, early stopping
[anonymized]   2019-11-27 18:28
submitted a solution:Simple nn solution with torch (stupid params + long training)
[anonymized]   2019-11-27 18:11
submitted a solution:Simple nn solution with torch (stupid params???)
[anonymized]   2019-11-27 18:07
submitted a solution:Simple nn solution with torch (better params)
[anonymized]   2019-11-27 17:39
submitted a solution:Simple nn solution with torch
[anonymized]   2019-11-27 10:22
submitted a solution:dlugosci+
[anonymized]   2019-11-27 09:35
submitted a solution:solution
[anonymized]   2019-11-27 08:50
submitted a solution:solution
[anonymized]   2019-11-27 07:49
submitted a solution:solution 16N
[anonymized]   2019-11-27 06:52
submitted a solution:solution
[anonymized]   2019-11-27 06:45
submitted a solution:LR with 16 neurons
[anonymized]   2019-11-27 06:23
submitted a solution:My solution
[anonymized]   2019-11-27 06:22
submitted a solution:sane words
[anonymized]   2019-11-27 02:20
submitted a solution:sane_words
[anonymized]   2019-11-27 01:10
submitted a solution:NN 16
[anonymized]   2019-11-27 00:57
submitted a solution:NN
[anonymized]   2019-11-27 00:19
submitted a solution:Checking...
[anonymized]   2019-11-26 22:16
submitted a solution:LR with 1 hiiden layer - 16 neurons
[anonymized]   2019-11-26 22:10
submitted a solution:Test lr
[anonymized]   2019-11-26 21:36
submitted a solution:logistic regresion
[anonymized]   2019-11-26 21:13
submitted a solution:Neural network
[anonymized]   2019-11-26 13:15
submitted a solution:Neural net 1 hidden layer 16 neurons
[anonymized]   2019-11-22 02:02
submitted a solution:32x32 selfmade NN pytorch alpha -1.5 420k loop
[anonymized]   2019-11-21 20:40
submitted a solution:slightly better nn
[anonymized]   2019-11-21 20:00
submitted a solution:simple nn with silly function on words
p/tlen   2018-05-22 11:44
submitted a solution:adaboost, f-measure on train=0.4200
p/tlen   2018-05-22 09:28
submitted a solution:decision tree, classes balanced, f-measure on train=0.9985
p/tlen   2018-05-22 09:15
submitted a solution:decision tree, classes balanced, f-measure on train=0.4610
p/tlen   2018-05-22 07:48
submitted a solution:random forest, n_estimators=100, max_depth=4, oob_score, f-measure on train=0.3805
p/tlen   2018-05-22 07:34
submitted a solution:RandomForest, n_estimators=5, classes balanced, f-measure on train=0.3884
p/tlen   2018-05-22 07:27
submitted a solution:bagging, oob_score, classes balanced, n_estimators=5, f-measure on train=0.5268
p/tlen   2018-05-22 07:19
submitted a solution:bagging, class balanced, n_estimators=5, max_depth=10, f-measure on train=0.5237
p/tlen   2018-05-22 07:12
submitted a solution:bagging, n_estimators=20, f-measure on train=0.1891
p/tlen   2018-05-22 06:52
submitted a solution:bagging with 5 estimators, f-measure on train=0.2103
p/tlen   2018-05-22 06:38
submitted a solution:decision tree, max_depth=10, f-measure on train=0.2918
p/tlen   2018-05-22 06:34
submitted a solution:decision tree, max_depth=20, f-measure on train=0.6321
p/tlen   2018-05-22 06:32
submitted a solution:forgotten test-A/out.tsv, f-measure on train=0.0609
p/tlen   2018-05-22 06:30
submitted a solution:decision tree, max_depth=5, f-measure on train=0.0609
p/tlen   2018-05-22 06:24
submitted a solution:decision tree, F-measure on train=0.9941
[anonymized]   2018-02-09 15:52
submitted a solution:'baseline'
[anonymized]   2018-02-09 12:42
submitted a solution:'baseline'
[anonymized]   2018-02-09 12:02
submitted a solution:'baseline'
[anonymized]   2018-02-09 11:12
submitted a solution:'baseline'
[anonymized]   2018-02-09 10:35
submitted a solution:'baseline'
[anonymized]   2018-02-09 09:53
submitted a solution:'baseline'
[anonymized]   2018-02-09 09:25
submitted a solution:'baseline'
[anonymized]   2018-02-09 09:12
submitted a solution:'baseline'
[anonymized]   2018-02-09 08:50
submitted a solution:'baseline'
[anonymized]   2018-02-09 08:23
submitted a solution:'baseline'
[anonymized]   2018-02-09 08:18
submitted a solution:baseline max_words=40 batch_size=512 nb_epoch=64
[anonymized]   2018-02-09 07:56
submitted a solution:baseline max_words=50 batch_size=512 nb_epoch=32
[anonymized]   2018-01-28 13:53
submitted a solution:test 11
[anonymized]   2018-01-28 13:52
submitted a solution:test 11
[anonymized]   2018-01-28 13:52
submitted a solution:test 11
[anonymized]   2018-01-28 00:05
submitted a solution:test 11
[anonymized]   2018-01-28 00:03
submitted a solution:test 11
[anonymized]   2018-01-28 00:03
submitted a solution:test 11
[anonymized]   2018-01-28 00:02
submitted a solution:test 11
[anonymized]   2018-01-28 00:00
submitted a solution:test 11
[anonymized]   2018-01-27 23:59
submitted a solution:test 11
[anonymized]   2018-01-27 23:58
submitted a solution:test 11
[anonymized]   2018-01-27 23:57
submitted a solution:test 11
[anonymized]   2018-01-27 23:56
submitted a solution:test 11
[anonymized]   2018-01-27 13:15
submitted a solution:test 11
[anonymized]   2018-01-27 01:04
submitted a solution:test 11
[anonymized]   2018-01-27 01:03
submitted a solution:test 11
[anonymized]   2018-01-27 01:02
submitted a solution:test 11
[anonymized]   2018-01-27 01:00
submitted a solution:test 11
[anonymized]   2018-01-27 00:59
submitted a solution:test 11
[anonymized]   2018-01-27 00:57
submitted a solution:test 11
[anonymized]   2018-01-27 00:56
submitted a solution:test 11
[anonymized]   2018-01-27 00:56
submitted a solution:test 11
[anonymized]   2018-01-26 16:45
submitted a solution:test 10
[anonymized]   2018-01-26 16:17
submitted a solution:test 10
[anonymized]   2018-01-26 16:09
submitted a solution:test 10
[anonymized]   2018-01-26 15:32
submitted a solution:test 10
[anonymized]   2018-01-26 15:31
submitted a solution:test 10
[anonymized]   2018-01-26 15:29
submitted a solution:test 10
[anonymized]   2018-01-26 15:29
submitted a solution:test 10
[anonymized]   2018-01-26 15:28
submitted a solution:test 9
[anonymized]   2018-01-26 11:16
submitted a solution:test 8
[anonymized]   2018-01-26 10:59
submitted a solution:Fixed class weight
[anonymized]   2018-01-26 10:40
submitted a solution:test 6
[anonymized]   2018-01-26 10:36
submitted a solution:test 5
[anonymized]   2018-01-26 10:32
submitted a solution:test 4
[anonymized]   2018-01-24 23:53
submitted a solution:Found nice parameters
[anonymized]   2018-01-24 16:05
submitted a solution:test 2
[anonymized]   2018-01-10 16:07
submitted a solution:test
[anonymized]   2018-01-10 15:14
submitted a solution:max_word=80, batch_size=256, activition=relu, optymizer=rmsprob, nb_epoch=200 GPU
[anonymized]   2018-01-09 19:32
submitted a solution:max_word=80, batch_size=256, activition=relu, optymizer=rmsprob, nb_epoch=200
[anonymized]   2018-01-09 13:57
submitted a solution:Keras 2.1.2
[anonymized]   2017-01-08 10:59
submitted a solution:approximate frequencies
[anonymized]   2017-01-07 22:08
submitted a solution:approximate frequencies
[anonymized]   2017-01-07 16:40
submitted a solution:spellcheck suggestions
[anonymized]   2017-01-06 18:24
submitted a solution:letter histograms
[anonymized]   2017-01-06 18:10
submitted a solution:improved learning rate
[anonymized]   2017-01-06 18:06
submitted a solution:improved spellchecking
p/tlen   2016-12-27 13:33
submitted a solution:ensemble of 3 simple neural networks
p/tlen   2016-12-27 11:31
submitted a solution:averaged 3 sub-NNs
p/tlen   2016-12-27 11:29
submitted a solution:averaged 3 sub-NNs
p/tlen   2016-12-27 09:56
submitted a solution:simple neural network with frequencies taken into account (tanh)
p/tlen   2016-12-27 09:14
submitted a solution:simple neural network with frequencies taken into account
p/tlen   2016-12-27 09:07
submitted a solution:simple neural network with frequencies taken into account
p/tlen   2016-12-26 17:18
submitted a solution:simple neural network without drop-out
p/tlen   2016-12-23 22:07
submitted a solution:simpler neural network but trained longer
p/tlen   2016-12-23 21:16
submitted a solution:even simpler neural network
[anonymized]   2016-12-19 20:14
submitted a solution:random yolo with correct output file xD
[anonymized]   2016-12-19 20:08
submitted a solution:random yolo
[anonymized]   2016-12-15 20:26
submitted a solution:tuned parameters
[anonymized]   2016-12-13 23:47
submitted a solution:vw ngrams, suffixes, spellcheckers
p/tlen   2016-12-12 21:52
submitted a solution:stupid neural network by night
p/tlen   2016-12-10 14:50
submitted a solution:trivial solution (handcrafted one-liner)