MLcomp version alpha Statistics: 2045 users, 665 datasets, 389 programs, 18920 runs (0 queued, 4 running), 0 workers

Run 20661

Creator	internal
Program	simple-naive-bayes
Dataset	neut_1.-.01
Task type	MulticlassClassification
Created	323d1h ago

Status: Done!

Total Time
Max Memory Usage
Domain	BinaryClassification
Learn time	4m27s
Train error	0.440
Predict train time	4m5s
Test error	0.465
Predict test time	1m48s

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 [250s]
=== END program1: ./run learn ../dataset3/train --- OK [267s]

===== 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 [17s]
=== 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 [242s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [245s]
=== START program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out
=== END program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out --- OK [16s]

===== 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 [8s]
=== 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 [107s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [108s]
=== START program5: ./run evaluate ../dataset3/test ../program0/evalTest.out
=== END program5: ./run evaluate ../dataset3/test ../program0/evalTest.out --- OK [7s]


real	11m8.303s
user	6m26.844s
sys	0m5.300s

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) neut_1.-.01: Task: text sentiment analysis. Features: text term/freq counts, along with other real-valued features. Labels: binary sentiment score.
  • (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: 0.464870501366852
    • numErrors: 16495
    • numExamples: 35483
    • success: true
    • time: 7
  • predict:
    • predict:
      • success: true
      • time: 107
    • success: true
    • time: 108
  • strip:
    • success: true
    • time: 8
• doTrain:
  • evaluate:
    • errorRate: 0.439578225212276
    • numErrors: 36394
    • numExamples: 82793
    • success: true
    • time: 16
  • predict:
    • predict:
      • success: true
      • time: 242
    • success: true
    • time: 245
  • strip:
    • success: true
    • time: 17
• exitCode: 0
• learn:
  • learn:
    • success: true
    • time: 250
  • success: true
  • time: 267
• success: true

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