MLcomp - Viewing Program cberner-KNNImproved-r

cberner-KNNImproved-r

I implemented KNN with learning to find the best K, using cosine similarity and similarity weighting for prediction. Also the prediction is clamped to the range [1,5] since we know that ratings are in that range.

Task:	CollaborativeFiltering
User:	cberner
Size:	7K
Status:	checked
Access:	restricted

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 cberner-KNNImproved-r 1-6 of 6

Filter:

ID	Program	Dataset	Tuned hyper.	User	Updated <<	Status	Total time	Memory	Error
Run #2068	cberner-KNNImproved-r	cs281amovielens	no	internal	1y123d ago	done	1s	415M	0.761
Run #1336	cberner-KNNImproved-r	movielens1m	no	jake	1y123d ago	done	1h29m	833M	0.905
Run #1312	cberner-KNNImproved-r	eachmovie-1to5	no	lester	1y123d ago	failed	24m27s	2010M
Run #1231	cberner-KNNImproved-r	eachmovie	no	lester	1y123d ago	done	1h28m	1764M	1.20
Run #875	cberner-KNNImproved-r	movielens100k	no	cberner	1y123d ago	done	5m26s	143M	0.942
Run #874	cberner-KNNImproved-r	collaborativefiltering-sample	no	cberner	1y123d ago	done	1s	428M	0.901

Program contents

Comments:

Post comment:

Must be logged in to post comments.

Username:
Password:

MLcomp version alpha Statistics: 1215 users, 402 datasets, 328 programs, 9938 runs (0 queued, 0 running), 0 workers

Comments: