From: Screening PubMed abstracts: is class imbalance always a challenge to machine learning?
Systematic reviews | Documents | Tokens | Non-zero entries | Zero entries | Sparsity |
---|---|---|---|---|---|
Yang et al. 2014 [15] | 418 | 61208 | 147445 | 25437499 | 0.99 |
Meng et al 2014 [16] | 209 | 35821 | 73977 | 7412612 | 0.99 |
Segelov et al. 2014 [17] | 413 | 58351 | 125027 | 23963936 | 0.99 |
Li et al. 2014 [18] | 206 | 33851 | 68826 | 6904480 | 0.99 |
Lv et al. 2014 [19] | 412 | 57485 | 138846 | 23544974 | 0.99 |
Wang et al. 2015 [20] | 832 | 101418 | 288432 | 84091344 | 1.00 |
Zhou at al. 2014 [21] | 209 | 33389 | 69854 | 6908447 | 0.99 |
Liu et al. 2014 [22] | 623 | 88108 | 219258 | 54672026 | 1.00 |
Douxfils et al. 2014 [23] | 413 | 58133 | 141721 | 23869208 | 0.99 |
Kourbeti et al. 2014 [24] | 1675 | 187947 | 603479 | 314207746 | 1.00 |
Li et al. 2014 [25] | 209 | 33653 | 69130 | 6964347 | 0.99 |
Cavender et al. 2014 [26] | 414 | 59572 | 141105 | 24521703 | 0.99 |
Chatterjee et al. 2014 [27] | 418 | 54458 | 130782 | 22632662 | 0.99 |
Funakoshi et al 2014 [28] | 1043 | 131172 | 370385 | 136442011 | 1.00 |