MLcomp version alpha Statistics: 1202 users, 398 datasets, 328 programs, 9930 runs (0 queued, 0 running), 0 workers

Run 2365

Creator	internal
Program	perceptron_by_jake
Dataset	primary-tumor
Task type	BinaryClassification
Created	1y120d ago
Download	Login required!

Status: Done!

Total Time	1m2s
Max Memory Usage	35M
Domain:	MulticlassClassification
Learn time
Train error	0.549
Predict train time
Test error	0.598
Predict test time

Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset3/train
===== One versus all: training label y=1 versus the rest =====
=== START _one-vs-all-learner1: ./run learn ../data1
-1
-1
=== END _one-vs-all-learner1: ./run learn ../data1 --- OK [3s]

===== One versus all: training label y=2 versus the rest =====
=== START _one-vs-all-learner2: ./run learn ../data2
-1
-1
=== END _one-vs-all-learner2: ./run learn ../data2 --- OK [3s]

===== One versus all: training label y=3 versus the rest =====
=== START _one-vs-all-learner3: ./run learn ../data3
-1
-1
=== END _one-vs-all-learner3: ./run learn ../data3 --- OK [3s]

===== One versus all: training label y=4 versus the rest =====
=== START _one-vs-all-learner4: ./run learn ../data4
-1
-1
=== END _one-vs-all-learner4: ./run learn ../data4 --- OK [3s]

===== One versus all: training label y=5 versus the rest =====
=== START _one-vs-all-learner5: ./run learn ../data5
-1
-1
=== END _one-vs-all-learner5: ./run learn ../data5 --- OK [3s]

===== One versus all: training label y=6 versus the rest =====
=== START _one-vs-all-learner6: ./run learn ../data6
-1
-1
=== END _one-vs-all-learner6: ./run learn ../data6 --- OK [2s]

===== One versus all: training label y=7 versus the rest =====
=== START _one-vs-all-learner7: ./run learn ../data7
-1
-1
=== END _one-vs-all-learner7: ./run learn ../data7 --- OK [3s]

===== One versus all: training label y=8 versus the rest =====
=== START _one-vs-all-learner8: ./run learn ../data8
-1
-1
=== END _one-vs-all-learner8: ./run learn ../data8 --- OK [3s]

===== One versus all: training label y=9 versus the rest =====
=== START _one-vs-all-learner9: ./run learn ../data9
-1
-1
=== END _one-vs-all-learner9: ./run learn ../data9 --- OK [3s]

===== One versus all: training label y=10 versus the rest =====
=== START _one-vs-all-learner10: ./run learn ../data10
-1
-1
=== END _one-vs-all-learner10: ./run learn ../data10 --- OK [3s]

===== One versus all: training label y=11 versus the rest =====
=== START _one-vs-all-learner11: ./run learn ../data11
-1
-1
=== END _one-vs-all-learner11: ./run learn ../data11 --- OK [2s]

===== One versus all: training label y=12 versus the rest =====
=== START _one-vs-all-learner12: ./run learn ../data12
-1
-1
=== END _one-vs-all-learner12: ./run learn ../data12 --- OK [3s]

===== One versus all: training label y=13 versus the rest =====
=== START _one-vs-all-learner13: ./run learn ../data13
-1
-1
=== END _one-vs-all-learner13: ./run learn ../data13 --- OK [3s]

===== One versus all: training label y=14 versus the rest =====
=== START _one-vs-all-learner14: ./run learn ../data14
-1
-1
=== END _one-vs-all-learner14: ./run learn ../data14 --- OK [3s]

===== One versus all: training label y=15 versus the rest =====
=== START _one-vs-all-learner15: ./run learn ../data15
-1
-1
=== END _one-vs-all-learner15: ./run learn ../data15 --- OK [2s]

===== One versus all: training label y=16 versus the rest =====
=== START _one-vs-all-learner16: ./run learn ../data16
-1
-1
=== END _one-vs-all-learner16: ./run learn ../data16 --- OK [3s]

===== One versus all: training label y=17 versus the rest =====
=== START _one-vs-all-learner17: ./run learn ../data17
-1
-1
=== END _one-vs-all-learner17: ./run learn ../data17 --- OK [3s]

===== One versus all: training label y=18 versus the rest =====
=== START _one-vs-all-learner18: ./run learn ../data18
-1
-1
=== END _one-vs-all-learner18: ./run learn ../data18 --- OK [3s]

===== One versus all: training label y=19 versus the rest =====
=== START _one-vs-all-learner19: ./run learn ../data19
-1
-1
=== END _one-vs-all-learner19: ./run learn ../data19 --- OK [2s]

===== One versus all: training label y=20 versus the rest =====
=== START _one-vs-all-learner20: ./run learn ../data20
-1
-1
=== END _one-vs-all-learner20: ./run learn ../data20 --- OK [3s]

===== One versus all: training label y=21 versus the rest =====
=== START _one-vs-all-learner21: ./run learn ../data21
-1
-1
=== END _one-vs-all-learner21: ./run learn ../data21 --- OK [3s]

=== END program1: ./run learn ../dataset3/train --- OK [59s]

===== MAIN: predict/evaluate on train data =====
=== START program4: ./run stripLabels ../dataset3/train ../program0/evalTrain.in
=== END program4: ./run stripLabels ../dataset3/train ../program0/evalTrain.in --- OK [0s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
=== START _one-vs-all-learner1: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y1
0.822784810126582
=== END _one-vs-all-learner1: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y1 --- OK [0s]
=== START _one-vs-all-learner2: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y2
0.90295358649789
=== END _one-vs-all-learner2: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y2 --- OK [0s]
=== START _one-vs-all-learner3: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y3
0.957805907172996
=== END _one-vs-all-learner3: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y3 --- OK [0s]
=== START _one-vs-all-learner4: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y4
0.957805907172996
=== END _one-vs-all-learner4: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y4 --- OK [0s]
=== START _one-vs-all-learner5: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y5
0.772151898734177
=== END _one-vs-all-learner5: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y5 --- OK [1s]
=== START _one-vs-all-learner6: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y6
1.0
=== END _one-vs-all-learner6: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y6 --- OK [0s]
=== START _one-vs-all-learner7: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y7
1.0
=== END _one-vs-all-learner7: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y7 --- OK [0s]
=== START _one-vs-all-learner8: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y8
0.9957805907173
=== END _one-vs-all-learner8: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y8 --- OK [0s]
=== START _one-vs-all-learner9: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y9
0.9957805907173
=== END _one-vs-all-learner9: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y9 --- OK [0s]
=== START _one-vs-all-learner10: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y10
0.59493670886076
=== END _one-vs-all-learner10: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y10 --- OK [0s]
=== START _one-vs-all-learner11: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y11
0.983122362869198
=== END _one-vs-all-learner11: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y11 --- OK [0s]
=== START _one-vs-all-learner12: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y12
1.0
=== END _one-vs-all-learner12: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y12 --- OK [0s]
=== START _one-vs-all-learner13: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y13
0.717299578059072
=== END _one-vs-all-learner13: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y13 --- OK [1s]
=== START _one-vs-all-learner14: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y14
0.9957805907173
=== END _one-vs-all-learner14: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y14 --- OK [0s]
=== START _one-vs-all-learner15: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y15
0.9957805907173
=== END _one-vs-all-learner15: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y15 --- OK [0s]
=== START _one-vs-all-learner16: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y16
0.9957805907173
=== END _one-vs-all-learner16: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y16 --- OK [0s]
=== START _one-vs-all-learner17: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y17
0.89873417721519
=== END _one-vs-all-learner17: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y17 --- OK [0s]
=== START _one-vs-all-learner18: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y18
0.932489451476793
=== END _one-vs-all-learner18: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y18 --- OK [0s]
=== START _one-vs-all-learner19: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y19
1.0
=== END _one-vs-all-learner19: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y19 --- OK [0s]
=== START _one-vs-all-learner20: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y20
0.9957805907173
=== END _one-vs-all-learner20: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y20 --- OK [1s]
=== START _one-vs-all-learner21: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y21
0.932489451476793
=== END _one-vs-all-learner21: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out-y21 --- OK [0s]
237 examples
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [3s]
=== START program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out
=== END program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out --- OK [0s]

===== MAIN: predict/evaluate on test data =====
=== START program4: ./run stripLabels ../dataset3/test ../program0/evalTest.in
=== END program4: ./run stripLabels ../dataset3/test ../program0/evalTest.in --- OK [0s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
=== START _one-vs-all-learner1: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y1
0.803921568627451
=== END _one-vs-all-learner1: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y1 --- OK [0s]
=== START _one-vs-all-learner2: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y2
0.892156862745098
=== END _one-vs-all-learner2: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y2 --- OK [0s]
=== START _one-vs-all-learner3: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y3
0.941176470588235
=== END _one-vs-all-learner3: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y3 --- OK [0s]
=== START _one-vs-all-learner4: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y4
0.950980392156863
=== END _one-vs-all-learner4: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y4 --- OK [0s]
=== START _one-vs-all-learner5: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y5
0.813725490196078
=== END _one-vs-all-learner5: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y5 --- OK [0s]
=== START _one-vs-all-learner6: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y6
1.0
=== END _one-vs-all-learner6: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y6 --- OK [0s]
=== START _one-vs-all-learner7: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y7
1.0
=== END _one-vs-all-learner7: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y7 --- OK [1s]
=== START _one-vs-all-learner8: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y8
1.0
=== END _one-vs-all-learner8: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y8 --- OK [0s]
=== START _one-vs-all-learner9: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y9
1.0
=== END _one-vs-all-learner9: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y9 --- OK [0s]
=== START _one-vs-all-learner10: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y10
0.617647058823529
=== END _one-vs-all-learner10: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y10 --- OK [0s]
=== START _one-vs-all-learner11: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y11
0.990196078431373
=== END _one-vs-all-learner11: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y11 --- OK [0s]
=== START _one-vs-all-learner12: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y12
1.0
=== END _one-vs-all-learner12: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y12 --- OK [0s]
=== START _one-vs-all-learner13: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y13
0.745098039215686
=== END _one-vs-all-learner13: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y13 --- OK [0s]
=== START _one-vs-all-learner14: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y14
1.0
=== END _one-vs-all-learner14: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y14 --- OK [0s]
=== START _one-vs-all-learner15: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y15
1.0
=== END _one-vs-all-learner15: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y15 --- OK [0s]
=== START _one-vs-all-learner16: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y16
1.0
=== END _one-vs-all-learner16: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y16 --- OK [0s]
=== START _one-vs-all-learner17: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y17
0.892156862745098
=== END _one-vs-all-learner17: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y17 --- OK [0s]
=== START _one-vs-all-learner18: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y18
0.96078431372549
=== END _one-vs-all-learner18: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y18 --- OK [0s]
=== START _one-vs-all-learner19: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y19
1.0
=== END _one-vs-all-learner19: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y19 --- OK [1s]
=== START _one-vs-all-learner20: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y20
1.0
=== END _one-vs-all-learner20: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y20 --- OK [0s]
=== START _one-vs-all-learner21: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y21
0.950980392156863
=== END _one-vs-all-learner21: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out-y21 --- OK [0s]
102 examples
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [2s]
=== START program5: ./run evaluate ../dataset3/test ../program0/evalTest.out
=== END program5: ./run evaluate ../dataset3/test ../program0/evalTest.out --- OK [0s]


real	1m3.981s
user	0m50.355s
sys	0m12.249s

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) one-vs-all: Reduction from multiclass classification to binary classification.
    • (binaryLearner:Program[BinaryClassification]) perceptron_by_jake: Jake's implementation of the Perceptron algorithm in Ruby.
  • (dataset:Dataset) primary-tumor: 339 examples, 22 features
  • (stripper:Program[Strip]) multiclass-utils: Validates and inspects a dataset in MulticlassClassification format.
  • (evaluator:Program[Evaluate]) classification-evaluator: Evaluates predictions of classification datasets (discrete outputs).

Results

• doTest:
  • evaluate:
    • errorRate: 0.598039215686274
    • numErrors: 61
    • numExamples: 102
    • success: true
    • time: 0
  • predict:
    • predict1:
      • success: true
      • time: 0
    • predict10:
      • success: true
      • time: 0
    • predict11:
      • success: true
      • time: 0
    • predict12:
      • success: true
      • time: 0
    • predict13:
      • success: true
      • time: 0
    • predict14:
      • success: true
      • time: 0
    • predict15:
      • success: true
      • time: 0
    • predict16:
      • success: true
      • time: 0
    • predict17:
      • success: true
      • time: 0
    • predict18:
      • success: true
      • time: 0
    • predict19:
      • success: true
      • time: 1
    • predict2:
      • success: true
      • time: 0
    • predict20:
      • success: true
      • time: 0
    • predict21:
      • success: true
      • time: 0
    • predict3:
      • success: true
      • time: 0
    • predict4:
      • success: true
      • time: 0
    • predict5:
      • success: true
      • time: 0
    • predict6:
      • success: true
      • time: 0
    • predict7:
      • success: true
      • time: 1
    • predict8:
      • success: true
      • time: 0
    • predict9:
      • success: true
      • time: 0
    • success: true
    • time: 2
  • strip:
    • success: true
    • time: 0
• doTrain:
  • evaluate:
    • errorRate: 0.548523206751055
    • numErrors: 130
    • numExamples: 237
    • success: true
    • time: 0
  • predict:
    • predict1:
      • success: true
      • time: 0
    • predict10:
      • success: true
      • time: 0
    • predict11:
      • success: true
      • time: 0
    • predict12:
      • success: true
      • time: 0
    • predict13:
      • success: true
      • time: 1
    • predict14:
      • success: true
      • time: 0
    • predict15:
      • success: true
      • time: 0
    • predict16:
      • success: true
      • time: 0
    • predict17:
      • success: true
      • time: 0
    • predict18:
      • success: true
      • time: 0
    • predict19:
      • success: true
      • time: 0
    • predict2:
      • success: true
      • time: 0
    • predict20:
      • success: true
      • time: 1
    • predict21:
      • success: true
      • time: 0
    • predict3:
      • success: true
      • time: 0
    • predict4:
      • success: true
      • time: 0
    • predict5:
      • success: true
      • time: 1
    • predict6:
      • success: true
      • time: 0
    • predict7:
      • success: true
      • time: 0
    • predict8:
      • success: true
      • time: 0
    • predict9:
      • success: true
      • time: 0
    • success: true
    • time: 3
  • strip:
    • success: true
    • time: 0
• exitCode: 0
• learn:
  • learn1:
    • success: true
    • time: 3
  • learn10:
    • success: true
    • time: 3
  • learn11:
    • success: true
    • time: 2
  • learn12:
    • success: true
    • time: 3
  • learn13:
    • success: true
    • time: 3
  • learn14:
    • success: true
    • time: 3
  • learn15:
    • success: true
    • time: 2
  • learn16:
    • success: true
    • time: 3
  • learn17:
    • success: true
    • time: 3
  • learn18:
    • success: true
    • time: 3
  • learn19:
    • success: true
    • time: 2
  • learn2:
    • success: true
    • time: 3
  • learn20:
    • success: true
    • time: 3
  • learn21:
    • success: true
    • time: 3
  • learn3:
    • success: true
    • time: 3
  • learn4:
    • success: true
    • time: 3
  • learn5:
    • success: true
    • time: 3
  • learn6:
    • success: true
    • time: 2
  • learn7:
    • success: true
    • time: 3
  • learn8:
    • success: true
    • time: 3
  • learn9:
    • success: true
    • time: 3
  • success: true
  • time: 59
• success: true

Comments: