MLcomp version alpha Statistics: 2050 users, 665 datasets, 389 programs, 18920 runs (0 queued, 4 running), 0 workers

Run 26612

Creator	internal
Program	pmtk logreg L2
Dataset	HumanActivityRecognition_WearableAccelerometers
Task type	MulticlassClassification
Created	324d11h ago

Status: Done!

Total Time
Max Memory Usage
Domain	MulticlassClassification
Learn time	33m54s
Train error	0.054
Predict train time	1m27s
Test error	0.058
Predict test time	38s

Log file

construct is not a supported option===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
=== END program1: ./run learn ../dataset2/train --- OK [2034s]

===== 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
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [87s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [1s]

===== 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 [0s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [38s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s]


real	36m11.126s
user	13m38.991s
sys	21m38.641s

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) pmtk logreg L2:
  • (dataset:Dataset) HumanActivityRecognition_WearableAccelerometers: This is part of a dataset we'll publish in October, 25th of 2012. You can check our website to get it for free. The data come from triaxial wearable accelerometers mounted at the subjects' waist, left thigh, right ankle, and right upper arm. The 4 accelerometers were used at the same time, to collect data from 4 subjects doing 5 activities. Each activity is a class in the dataset:
    
    class
    1=sitting
    2=sitting down
    3=standing
    4=standing up
    5=walking
    
    The dataset has the label (class) and 22 columns as follow:
    
    class
    1=subject (4 subjects)
    2=gender
    3=age
    4=how_tall_in_meters
    5=weight
    6=-body_mass_index
    7=waist_x
    8=waist_y
    9=waist_z
    10=left_thigh_x
    11=left_thigh_y
    12=left_thigh_z
    13=right_ankle_x
    14=right_ankle_y
    15=right_ankle_z
    16=right_upper_arm_x
    17=right_upper_arm_y
    18=right_upper_arm_z
    19=module_vector_waist
    20=module_vector_left_thigh
    21=module_vector_right_ankle
    22=module_vector_right_upper_arm
    
    The dataset can't be published before October 25th, but you can use this one to work on the data and wait for the complete dataset with 165,633 samples. If you have any doubt, please ask us: wugulino@inf.puc-rio.br
    Have a good work!
    
    Ugulino (http://groupware.les.inf.puc-rio.br/ugulino)
  • (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: 0.0582909587002356
    • numErrors: 470
    • numExamples: 8063
    • success: true
    • time: 0
  • predict:
    • success: true
    • time: 38
  • strip:
    • success: true
    • time: 0
• doTrain:
  • evaluate:
    • errorRate: 0.053786872176455
    • numErrors: 1012
    • numExamples: 18815
    • success: true
    • time: 1
  • predict:
    • success: true
    • time: 87
  • strip:
    • success: true
    • time: 1
• exitCode: 0
• learn:
  • success: true
  • time: 2034
• success: true

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