MLcomp version alpha Statistics: 1213 users, 402 datasets, 328 programs, 9938 runs (0 queued, 0 running), 0 workers

forTestingOnly

only 4 positive and 4 negative data, it's used by me to test this website and get familiar with the flowchart for my further usage.

Format:	BinaryClassification
User:	frankman
Size:	438B
Status:	processed
Access:	restricted_access
#train	6
#test	2
dim	2

Run a program on this dataset

Select a program MulticlassClassification BinaryClassification 1-25 of 74 < > Filter:

	Name	Created	User	Rating <<	#runs
run	bonzaiboost-n200-d2	207d13h ago	pepin_de_landen	66	206
run	minimalist-boost	1y111d ago	favre	65	212
run	bonzaiboost-n1000-d1	207d14h ago	pepin_de_landen	65	201
run	boostexter	1y294d ago	favre	60	190
run	SMO_weka_nominal	2y41d ago	internal	59	189
run	RotationForest_weka_nominal	2y41d ago	internal	58	185
run	LogitBoost_weka_nominal	2y41d ago	internal	58	215
run	FilteredClassifier_weka_nominal	2y41d ago	internal	58	110
run	REPTree_weka_nominal	2y41d ago	internal	57	102
run	JRip_weka_nominal	2y41d ago	internal	57	97
run	DecisionTable_weka_nominal	2y41d ago	internal	57	100
run	MultilayerPerceptron_weka_nominal	2y41d ago	internal	56	135
run	Logistic_weka_nominal	2y41d ago	internal	56	172
run	AttributeSelectedClassifier_weka_nominal	2y41d ago	internal	56	109
run	BayesNet_weka_nominal	2y41d ago	internal	56	131
run	IB1_weka_nominal	2y41d ago	internal	56	118
run	pmtk logreg L2	1y339d ago	murphyk	56	19
run	RandomTree_weka_nominal	2y41d ago	internal	56	129
run	IBk_weka_nominal	2y41d ago	internal	56	139
run	Ridor_weka_nominal	2y41d ago	internal	55	96
run	PMTK Logistic Regression	1y340d ago	mdunham	54	17
run	KStar_weka_nominal	2y41d ago	internal	54	118
run	nn-ruby	2y130d ago	pliang	53	100
run	RBFNetwork_weka_nominal	2y41d ago	internal	52	85
run	mira-python-normalize	1y100d ago	favre	52	102

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2. current_sort_col => avg_percentile
3. paginate => true
4. model => Program
5. name => programs
6. limit => 25
7. reverse_sort => true
8. show_footer => true
9. pagination_maxed => false
10. columns => prg_create_runprg_nameprg_created_atprg_userprg_avg_percentileprg_num_runs
11. width => 100%
12. joins =>
13. include => uservresult
14. title => Select a program
15. filters => is_helperfalseprocess_statussuccesstask_typeMulticlassClassification

Existing runs on forTestingOnly (all) 1-13 of 13   Filter:

ID	Program	Dataset	Tuned hyper.	User	Updated	Status	Total time	Memory	Error >>
Run #7384	perceptron_by_jake	forTestingOnly	no	frankman	1y122d ago	done	2s	0B	0
Run #7385	EnsembleSelection_weka_nominal	forTestingOnly	no	frankman	1y122d ago	done	2s	247M	0
Run #7848	test	forTestingOnly	no	internal	1y123d ago	done	1s	0B	0
Run #7381	AdaBoostM1_weka_nominal	forTestingOnly	yes	frankman	1y122d ago	done	5s	28M	0.500
Run #7382	LogitBoost_weka_nominal	forTestingOnly	no	frankman	1y122d ago	done	1s	246M	0.500
Run #7383	svmlight-rbf	forTestingOnly	no	frankman	1y122d ago	done	1s	0B	1
Run #7749	svmlight-linear	forTestingOnly	no	internal	1y123d ago	done	1s	0B	1
Run #7824	liblinear-s6-B1	forTestingOnly	no	internal	1y123d ago	done	3s	53M	1
Run #7860	tinyclassifier-pkperceptron-2-tuning	forTestingOnly	no	internal	1y123d ago	done	41s	402M	1
Run #7864	tinyclassifier-perceptron-tuning	forTestingOnly	no	internal	1y123d ago	done	45s	400M	1
Run #8269	liblinear-s6-B1	forTestingOnly	yes	internal	1y122d ago	done	5s	53M	1
Run #10807	mira-python-normalize	forTestingOnly	no	favre	1y100d ago	done	1s	28M	1
Run #7380	svmlight_multiclass-linear	forTestingOnly	no	frankman	1y122d ago	failed	1s	0B

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2. filter_field => programs.namedatasets.nameruns.idrun_statuses.status
3. current_sort_col => error
4. paginate => true
5. model => Run
6. name => runs
7. limit => 25
8. show_footer => true
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11. columns => run_idrun_core_programrun_core_datasetrun_hyperrun_userrun_updated_atrun_statusrun_timerun_memoryrun_error
12. width => 100%
13. joins => statuscore_programcore_dataset
14. filters => core_dataset_id444programs.is_helperfalse
15. title => Existing runs on forTestingOnly

Processing details

• exitCode: 0
• splitter:
  • success: true
  • time: 0
• success: true
• test:
  • numDim: 2
  • numExamples: 2
  • numLabels: 2
  • success: true
  • time: 0
• train:
  • numDim: 2
  • numExamples: 6
  • numLabels: 2
  • success: true
  • time: 0

Comments:

• 

  Jacob Abernethy (jake)
  UC Berkeley Comp Sci
  Posted at 04/15/2010

  I think your dataset is a little too easy

  Even the worst algorithm on this site, "perceptron_by_jake", got 0 error.