ML100K Data Description – LensKit Codex

Rating Statistics

Ratings	100,000
Users	943
Items	1,682
Density	6.305%
Item Gini	0.629
Start Date	1997-09-20 03:05:10
End Date	1998-04-22 23:10:38

Item Statistics

This section describes the distribution of various item statistics from the data set.

Item Popularity

What is the distribution of popularity?

Let’s also look at this as a Lorenz curve, for clarity:

We’ll now fit a distribution.

[distfit] >INFO> fit
[distfit] >INFO> transform
[distfit] >INFO> [pareto  ] [0.00 sec] [RSS: 5.40521e-05] [loc=-34.007 scale=35.007]
[distfit] >INFO> [powerlaw] [0.00 sec] [RSS: 0.000388815] [loc=1.000 scale=582.000]
[distfit] >INFO> [expon   ] [0.00 sec] [RSS: 0.000277923] [loc=1.000 scale=58.453]
[distfit] >INFO> [lognorm ] [0.00 sec] [RSS: 0.000764354] [loc=1.000 scale=0.962]
[distfit] >INFO> [pareto  ] [0.00 sec] [RSS: 5.40521e-05] [loc=-34.007 scale=35.007]
[distfit] >INFO> [powerlaw] [0.00 sec] [RSS: 0.000388815] [loc=1.000 scale=582.000]
[distfit] >INFO> [expon   ] [0.00 sec] [RSS: 0.000277923] [loc=1.000 scale=58.453]
[distfit] >INFO> [lognorm ] [0.00 sec] [RSS: 0.000764354] [loc=1.000 scale=0.962]
[distfit] >INFO> Compute confidence intervals [parametric]

Summary of fits:

	name	score	loc	scale	arg
0	pareto	0.000054	-34.006769	35.006769	(1.373623213065948,)
1	expon	0.000278	1.0	58.453032	()
2	powerlaw	0.000389	1.0	582.0	(0.154726886069689,)
3	lognorm	0.000764	1.0	0.962304	(10.98890325254742,)