MLcomp version alpha Statistics: 2041 users, 665 datasets, 389 programs, 18920 runs (0 queued, 5 running), 1 workers

Run 15440

Creator	internal
Program	KStar_weka_numeric
Dataset	housePricesFromZillow
Task type	Regression
Created	1y302d ago
Download	Login required!

Status: Done!

Total Time	14m8s
Max Memory Usage	418M
Domain	Regression
Learn time
Train MSE	4.54
Predict train time
Test MSE	4.02
Predict test time

Log file

Note: Some input files use unchecked or unsafe operations.
Note: Recompile with -Xlint:unchecked for details.
Regression
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
Regression
=== END program1: ./run learn ../dataset2/train --- OK [2s]

===== 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 [0s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
Regression
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [590s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [0s]

===== 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
Regression
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [256s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s]


real	14m13.561s
user	13m48.444s
sys	0m8.501s

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) KStar_weka_numeric: This programs is part of the WEKA classifier library. The code used to generate this program is from the java class 'weka/classifiers/lazy/KStar.java' from WEKA's libraries. The following description was taken from this classes JavaDoc information:
    
    ---------------------
    K* is an instance-based classifier, that is the class of a test instance is based upon the class of those training instances similar to it, as determined by some similarity function. It differs from other instance-based learners in that it uses an entropy-based distance function. For more information on K*, see John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
    ---------------------
    
    NOTE: This algorithm has no parameter tuning, it is using the default WEKA parameters
    
    
  • (dataset:Dataset) housePricesFromZillow: price beds baths sqft lot age property.tax
  • (stripper:Program[Strip]) regression-utils: Validates and inspects a dataset in Regression format.
  • (evaluator:Program[Evaluate]) regression-evaluator: Evaluates predictions of Regression datasets (continuous outputs).

Results

• doTest:
  • evaluate:
    • meanSquaredError: 4.01565732893105
    • numExamples: 3574
    • success: true
    • time: 0
    • totalMeanSquaredError: 14351.9592935996
  • predict:
    • success: true
    • time: 256
  • strip:
    • success: true
    • time: 1
• doTrain:
  • evaluate:
    • meanSquaredError: 4.54040477736352
    • numExamples: 8339
    • success: true
    • time: 0
    • totalMeanSquaredError: 37862.4354384344
  • predict:
    • success: true
    • time: 590
  • strip:
    • success: true
    • time: 0
• exitCode: 0
• learn:
  • success: true
  • time: 2
• success: true

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