MLcomp - Viewing Program mean_user_rating_ruby

mean_user_rating_ruby_2

A trivial collaborative filtering algorithm, written in Ruby, that simply uses the mean user rating. TAKE TWO.

Run this program on a dataset

	Name	User	Disk usage	Rating <<	#runs
run	movielens1m	lester	32M	391	118
run	eachmovie-1to5	lester	26M	340	117
run	eachmovie	lester	23M	329	117
run	cs281amovielens	akshayk	11K	84	108
run	movielens100k	lester	1M	61	117
run	CollaborativeFilteringData	yorinasub17	11K	58	10
run	WordSegmentationData	yorinasub17	476B	53	9
run	collaborativefiltering-sample	internal	194B	50	122
run	MulticlassClassificationData	yorinasub17	177K	47	23
run	SequenceTaggingData	yorinasub17	3K	41	9
run	BinaryClassificationData	yorinasub17	20K	37	10
run	DocumentClassification	yorinasub17	904B	34	9
run	OnlineLearningMulticlass	yorinasub17	4K	30	9
run	BanditMulticlassData	yorinasub17	770B	28	10
run	RegressionData	yorinasub17	17K		9

Existing runs on mean_user_rating_ruby_2 1-6 of 6

Filter:

ID	Program	Dataset	Tuned hyper.	User	Updated <<	Status	Total time	Memory	Error
Run #1980	mean_user_rating_ruby_2	eachmovie-1to5	no	internal	1y122d ago	done	2m2s	420M	1.17
Run #1979	mean_user_rating_ruby_2	eachmovie	no	internal	1y122d ago	done	2m30s	421M	1.42
Run #1981	mean_user_rating_ruby_2	cs281amovielens	no	internal	1y122d ago	done	2s	419M	0.849
Run #1978	mean_user_rating_ruby_2	movielens100k	no	internal	1y122d ago	done	1s	36M	1.04
Run #740	mean_user_rating_ruby_2	movielens1m	no	jake	1y122d ago	done	56s	424M	1.05
Run #737	mean_user_rating_ruby_2	collaborativefiltering-sample	no	jake	1y122d ago	done	1s	422M	2.03

Program contents

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