ServerRun 17703
Creatorinternal
Programwhoburg-ALS_K5-r
DatasetCollaborativeFilteringData
Task typeCollaborativeFiltering
Created5y327d ago
Done! Flag_green
CollaborativeFiltering
31s
253
30.1
1s
0.943
0.573

Log file

Usage: "run learn trainingFileName" OR "run predict testFileName predictionFileName"
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
[1] 1
[1] Inf
[1] 0.7693244
[1] 2
[1] 52.65592
[1] 21.03612
[1] 3
[1] 0.9274724
[1] 2.080489
[1] 4
[1] 0.1732357
[1] 2.034233
[1] 5
[1] 0.1011681
[1] 1.931142
[1] 6
[1] 0.07753317
[1] 1.823381
[1] 7
[1] 0.08567718
[1] 1.757163
[1] 8
[1] 0.08884425
[1] 1.716181
[1] 9
[1] 0.08982092
[1] 1.687552
[1] 10
[1] 0.08979678
[1] 1.664649
[1] 11
[1] 0.08931372
[1] 1.644375
[1] 12
[1] 0.08862368
[1] 1.625346
[1] 13
[1] 0.0878445
[1] 1.606967
[1] 14
[1] 0.0870314
[1] 1.588997
[1] 15
[1] 0.08621015
[1] 1.571342
[1] 16
[1] 0.08539272
[1] 1.553976
[1] 17
[1] 0.08458457
[1] 1.536891
[1] 18
[1] 0.0837881
[1] 1.520089
[1] 19
[1] 0.08300423
[1] 1.503572
[1] 20
[1] 0.08223324
[1] 1.487340
[1] 21
[1] 0.08147508
[1] 1.471391
[1] 22
[1] 0.08072956
[1] 1.455721
[1] 23
[1] 0.07999641
[1] 1.440328
[1] 24
[1] 0.07927534
[1] 1.425205
[1] 25
[1] 0.07856606
[1] 1.410347
[1] 26
[1] 0.07786828
[1] 1.395748
[1] 27
[1] 0.0771817
[1] 1.381401
[1] 28
[1] 0.07650604
[1] 1.367302
[1] 29
[1] 0.07584103
[1] 1.353443
[1] 30
[1] 0.07518641
[1] 1.339819
[1] 31
[1] 0.07454192
[1] 1.326424
[1] 32
[1] 0.07390732
[1] 1.313253
[1] 33
[1] 0.07328235
[1] 1.300299
[1] 34
[1] 0.0726668
[1] 1.287558
[1] 35
[1] 0.07206042
[1] 1.275024
[1] 36
[1] 0.07146302
[1] 1.262692
[1] 37
[1] 0.07087438
[1] 1.250558
[1] 38
[1] 0.07029428
[1] 1.238616
[1] 39
[1] 0.06972255
[1] 1.226863
[1] 40
[1] 0.06915898
[1] 1.215293
[1] 41
[1] 0.06860338
[1] 1.203903
[1] 42
[1] 0.06805559
[1] 1.192687
[1] 43
[1] 0.06751542
[1] 1.181643
[1] 44
[1] 0.06698271
[1] 1.170767
[1] 45
[1] 0.06645729
[1] 1.160054
[1] 46
[1] 0.065939
[1] 1.149500
[1] 47
[1] 0.0654277
[1] 1.139103
[1] 48
[1] 0.06492322
[1] 1.128859
[1] 49
[1] 0.06442542
[1] 1.118764
[1] 50
[1] 0.06393417
[1] 1.108815
[1] 51
[1] 0.06344932
[1] 1.099009
[1] 52
[1] 0.06297075
[1] 1.089343
[1] 53
[1] 0.06249831
[1] 1.079814
[1] 54
[1] 0.0620319
[1] 1.070419
[1] 55
[1] 0.06157137
[1] 1.061155
[1] 56
[1] 0.06111663
[1] 1.052019
[1] 57
[1] 0.06066754
[1] 1.043010
[1] 58
[1] 0.060224
[1] 1.034123
[1] 59
[1] 0.0597859
[1] 1.025357
[1] 60
[1] 0.05935312
[1] 1.016710
[1] 61
[1] 0.05892558
[1] 1.008178
[1] 62
[1] 0.05850316
[1] 0.9997595
[1] 63
[1] 0.05808577
[1] 0.9914524
[1] 64
[1] 0.05767331
[1] 0.9832544
[1] 65
[1] 0.05726569
[1] 0.9751632
[1] 66
[1] 0.05686282
[1] 0.9671768
[1] 67
[1] 0.05646461
[1] 0.9592932
[1] 68
[1] 0.05607097
[1] 0.9515104
[1] 69
[1] 0.05568182
[1] 0.9438264
[1] 70
[1] 0.05529708
[1] 0.9362395
[1] 71
[1] 0.05491666
[1] 0.9287477
[1] 72
[1] 0.0545405
[1] 0.9213492
[1] 73
[1] 0.05416851
[1] 0.9140424
[1] 74
[1] 0.05380061
[1] 0.9068255
[1] 75
[1] 0.05343675
[1] 0.899697
[1] 76
[1] 0.05307684
[1] 0.892655
[1] 77
[1] 0.05272082
[1] 0.8856981
[1] 78
[1] 0.05236861
[1] 0.8788248
[1] 79
[1] 0.05202017
[1] 0.8720336
[1] 80
[1] 0.05167541
[1] 0.8653229
[1] 81
[1] 0.05133428
[1] 0.8586914
[1] 82
[1] 0.05099672
[1] 0.8521376
[1] 83
[1] 0.05066266
[1] 0.8456603
[1] 84
[1] 0.05033206
[1] 0.839258
[1] 85
[1] 0.05000484
[1] 0.8329295
[1] 86
[1] 0.04968096
[1] 0.8266735
[1] 87
[1] 0.04936037
[1] 0.8204888
[1] 88
[1] 0.049043
[1] 0.8143741
[1] 89
[1] 0.04872881
[1] 0.8083283
[1] 90
[1] 0.04841774
[1] 0.8023502
[1] 91
[1] 0.04810975
[1] 0.7964387
[1] 92
[1] 0.04780479
[1] 0.7905927
[1] 93
[1] 0.04750281
[1] 0.784811
[1] 94
[1] 0.04720375
[1] 0.7790927
[1] 95
[1] 0.04690759
[1] 0.7734367
[1] 96
[1] 0.04661427
[1] 0.767842
[1] 97
[1] 0.04632375
[1] 0.7623077
[1] 98
[1] 0.04603599
[1] 0.7568326
[1] 99
[1] 0.04575094
[1] 0.751416
[1] 100
[1] 0.04546856
[1] 0.7460568
=== END program1: ./run learn ../dataset2/train --- OK [31s]

===== MAIN: predict/evaluate on train data =====
=== START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in
=== END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [1s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
[1] "../program0/evalTrain.in"
[1] "../program0/evalTrain.out"
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [1s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [2s]

===== MAIN: predict/evaluate on test data =====
=== START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in
=== END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [1s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
[1] "../program0/evalTest.in"
[1] "../program0/evalTest.out"
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [1s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s]


real	0m40.183s
user	0m22.549s
sys	0m1.516s

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