MLcomp - Viewing Program mean_movie_rating

mean_movie_rating_ruby

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

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_movie_rating_ruby 1-6 of 6

Filter:

ID	Program	Dataset	Tuned hyper.	User	Updated <<	Status	Total time	Memory	Error
Run #11600	mean_movie_rating_ruby	movielens1m	no	jamais	356d10h ago	done	1m56s	422M	0.983
Run #1982	mean_movie_rating_ruby	eachmovie	no	internal	1y122d ago	done	2m13s	420M	1.38
Run #1983	mean_movie_rating_ruby	eachmovie-1to5	no	internal	1y122d ago	done	1m56s	420M	1.15
Run #1984	mean_movie_rating_ruby	cs281amovielens	no	internal	1y122d ago	done	1s	411M	0.869
Run #768	mean_movie_rating_ruby	movielens100k	no	lester	1y122d ago	done	2s	46M	1.04
Run #741	mean_movie_rating_ruby	collaborativefiltering-sample	no	jake	1y122d ago	done	1s	425M	1.37

Program contents

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