MLcomp version alpha Statistics: 2043 users, 665 datasets, 389 programs, 18920 runs (0 queued, 4 running), 0 workers

Run 10951

Creator	pliang
Program	simple-naive-bayes
Dataset	ccs-challenge-dataset
Task type	MulticlassClassification
Created	2y186d ago
Download	Login required!

Status: Done!

Total Time	4s
Max Memory Usage	32M
Domain	BinaryClassification
Learn time
Train error	0.062
Predict train time
Test error	1
Predict test time

Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset3/train
=== START program2: ./run learn ../program1/data
Processing training examples...
Smoothing and normalizing (reverse = false)...
Saving model...
=== END program2: ./run learn ../program1/data --- OK [13s]
=== END program1: ./run learn ../dataset3/train --- OK [15s]

===== 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 program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output
Loading model...
Predicting test examples...
=== END program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output --- OK [14s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [14s]
=== START program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out
=== END program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out --- OK [2s]

===== 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 program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output
Loading model...
Predicting test examples...
=== END program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output --- OK [5s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [6s]
=== START program5: ./run evaluate ../dataset3/test ../program0/evalTest.out
=== END program5: ./run evaluate ../dataset3/test ../program0/evalTest.out --- OK [0s]


real	0m37.999s
user	0m36.622s
sys	0m0.804s

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) binary-to-multi: Allows multiclass classification to be run on binary classification datasets (trivial reduction).
    • (multiclassLearner:Program[MulticlassClassification]) simple-naive-bayes: A Simple Naive Bayes implementation in Ruby.
  • (dataset:Dataset) ccs-challenge-dataset: Real customer dataset.
  • (stripper:Program[Strip]) binary-utils: Validates and inspects a dataset in BinaryClassification format.
  • (evaluator:Program[Evaluate]) classification-evaluator: Evaluates predictions of classification datasets (discrete outputs).

Results

• doTest:
  • evaluate:
    • errorRate: 1.0
    • numErrors: 4000
    • numExamples: 4000
    • success: true
    • time: 1
  • predict:
    • predict:
      • success: true
      • time: 0
    • success: true
    • time: 0
  • strip:
    • success: true
    • time: 1
• doTrain:
  • evaluate:
    • errorRate: 0.0618
    • numErrors: 618
    • numExamples: 10000
    • success: true
    • time: 1
  • predict:
    • predict:
      • success: true
      • time: 1
    • success: true
    • time: 2
  • strip:
    • success: true
    • time: 1
• exitCode: 0
• learn:
  • learn:
    • success: true
    • time: 1
  • success: true
  • time: 2
• success: true

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