Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.4524  0.0014  0.1412  0.533  0.6511  0.59
Anderszewski 2003   72  0.2987  0.0065  0.0665  0.0671  0.0466  0.05
Ashkenazy 1981   5  0.5120  0.009  0.205  0.688  0.654  0.66
Bacha 2000   81  0.2480  0.0071  0.0476  0.0459  0.0473  0.04
Badura 1965   68  0.2937  0.0070  0.0569  0.0587  0.0283  0.03
Barbosa 1983   6  0.516  0.058  0.197  0.668  0.645  0.65
Biret 1990   30  0.4145  0.0021  0.1022  0.3522  0.4921  0.41
Blet 2003   1  0.542  0.192  0.261  0.731  0.811  0.77
Block 1995   59  0.3564  0.0061  0.0660  0.0659  0.0570  0.05
Blumental 1952   28  0.4239  0.0026  0.0923  0.3127  0.3630  0.33
Boshniakovich 1969   17  0.4429  0.0013  0.1416  0.5025  0.3619  0.42
Brailowsky 1960   57  0.3621  0.0063  0.0945  0.0940  0.1542  0.12
Bunin 1987   15  0.4412  0.0117  0.1418  0.475  0.6015  0.53
Bunin 1987b   24  0.4258  0.0023  0.0919  0.418  0.5517  0.47
Chiu 1999   46  0.3918  0.0146  0.0656  0.0642  0.1347  0.09
Cohen 1997   74  0.2867  0.0075  0.0382  0.0368  0.0384  0.03
Cortot 1951   86  0.1663  0.0087  0.0287  0.0288  0.0190  0.01
Csalog 1996   52  0.3733  0.0041  0.0543  0.1128  0.2438  0.16
Czerny 1949   83  0.2281  0.0083  0.0386  0.0378  0.0382  0.03
Czerny 1990   27  0.4242  0.0024  0.1020  0.3934  0.3027  0.34
Duchoud 2007   73  0.2834  0.0069  0.0657  0.0659  0.0569  0.05
Ezaki 2006   58  0.3635  0.0059  0.0664  0.0656  0.0756  0.06
Falvay 1989   16  0.449  0.0312  0.1717  0.4924  0.3520  0.41
Farrell 1958   80  0.2473  0.0082  0.0381  0.0385  0.0288  0.02
Ferenczy 1958   82  0.2331  0.0081  0.0477  0.0451  0.0767  0.05
Fliere 1977   2  0.545  0.064  0.202  0.7220  0.499  0.59
Fou 1978   29  0.4170  0.0037  0.0635  0.2242  0.1237  0.16
Francois 1956   75  0.2749  0.0078  0.0472  0.0461  0.0479  0.04
Friedman 1923   41  0.3955  0.0036  0.0637  0.1523  0.4832  0.27
Friedman 1923b   37  0.4059  0.0035  0.0833  0.2419  0.5425  0.36
Friedman 1930   53  0.3732  0.0042  0.0540  0.1427  0.3835  0.23
Garcia 2007   69  0.2988  0.0068  0.0659  0.0646  0.0758  0.06
Garcia 2007b   19  0.4415  0.0115  0.1115  0.5113  0.6312  0.57
Gierzod 1998   64  0.3222  0.0056  0.0666  0.0667  0.0568  0.05
Gornostaeva 1994   60  0.3574  0.0052  0.0662  0.0662  0.0571  0.05
Groot 1988   8  0.5011  0.016  0.198  0.655  0.597  0.62
Harasiewicz 1955   26  0.4275  0.0049  0.0655  0.0670  0.0572  0.05
Hatto 1993   7  0.5013  0.013  0.286  0.679  0.626  0.64
Hatto 1997   11  0.4848  0.007  0.219  0.6312  0.5510  0.59
Horowitz 1949   13  0.454  0.0611  0.1814  0.523  0.708  0.60
Indjic 1988   3  0.531  0.331  0.323  0.717  0.692  0.70
Kapell 1951   35  0.4038  0.0047  0.0749  0.0751  0.0750  0.07
Kissin 1993   21  0.4344  0.0025  0.0821  0.3826  0.5018  0.44
Kushner 1989   25  0.4228  0.0027  0.0927  0.3060  0.0543  0.12
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   66  0.3089  0.0067  0.0570  0.0581  0.0377  0.04
Malcuzynski 1961   62  0.3479  0.0064  0.0651  0.0676  0.0463  0.05
Magaloff 1978   55  0.3743  0.0055  0.0568  0.0554  0.0561  0.05
Magin 1975   10  0.4830  0.0016  0.1211  0.5415  0.5413  0.54
Michalowski 1933   42  0.3917  0.0120  0.0932  0.243  0.6722  0.40
Milkina 1970   44  0.3926  0.0028  0.0626  0.3036  0.3031  0.30
Mohovich 1999   39  0.4060  0.0038  0.0736  0.1839  0.1936  0.18
Moravec 1969   31  0.4153  0.0048  0.0661  0.0643  0.1149  0.08
Morozova 2008   32  0.418  0.0319  0.1024  0.3139  0.1834  0.24
Neighaus 1950   61  0.3561  0.0062  0.0846  0.0849  0.0559  0.06
Niedzielski 1931   45  0.3941  0.0033  0.0630  0.2710  0.5223  0.37
Ohlsson 1999   51  0.3854  0.0054  0.0653  0.0673  0.0375  0.04
Osinska 1989   50  0.3882  0.0045  0.0652  0.0665  0.0560  0.05
Pachmann 1927   71  0.2978  0.0079  0.0571  0.0563  0.0564  0.05
Paderewski 1930   67  0.3057  0.0053  0.0567  0.0521  0.4840  0.15
Perlemuter 1992   43  0.3925  0.0051  0.0658  0.0627  0.3441  0.14
Pierdomenico 2008   76  0.2686  0.0080  0.0479  0.0482  0.0380  0.03
Poblocka 1999   9  0.4914  0.0118  0.1513  0.5323  0.4816  0.50
Rabcewiczowa 1932   79  0.2552  0.0072  0.0475  0.0472  0.0474  0.04
Rachmaninoff 1923   23  0.4316  0.0122  0.0928  0.2825  0.3828  0.33
Rangell 2001   70  0.2962  0.0074  0.0474  0.0478  0.0385  0.03
Richter 1976   33  0.4156  0.0050  0.0748  0.0745  0.0851  0.07
Rosen 1989   54  0.3727  0.0039  0.0541  0.1272  0.0453  0.07
Rosenthal 1930   65  0.3219  0.0176  0.0380  0.0352  0.0676  0.04
Rosenthal 1931   84  0.1966  0.0085  0.0384  0.0378  0.0381  0.03
Rosenthal 1931b   85  0.1968  0.0084  0.0383  0.0376  0.0386  0.03
Rosenthal 1931c   77  0.2677  0.0073  0.0478  0.0464  0.0478  0.04
Rosenthal 1931d   78  0.2547  0.0077  0.0473  0.0444  0.1155  0.07
Rossi 2007   87  0.1483  0.0086  0.0385  0.0378  0.0287  0.02
Rubinstein 1939   63  0.3350  0.0066  0.0663  0.0649  0.0562  0.05
Rubinstein 1952   36  0.4065  0.0043  0.0539  0.1454  0.0648  0.09
Rubinstein 1966   40  0.3971  0.0040  0.0638  0.1559  0.0746  0.10
Schilhawsky 1960   49  0.3840  0.0031  0.0644  0.0937  0.1445  0.11
Shebanova 2002   12  0.473  0.0710  0.2110  0.5719  0.5114  0.54
Smith 1975   47  0.3823  0.0060  0.0750  0.0739  0.1644  0.11
Sokolov 2002   34  0.4036  0.0032  0.0631  0.259  0.5324  0.36
Sztompka 1959   38  0.4072  0.0058  0.0847  0.0861  0.0557  0.06
Tomsic 1995   56  0.3684  0.0044  0.0642  0.1237  0.1939  0.15
Uninsky 1932   22  0.4310  0.0234  0.0634  0.2227  0.2933  0.25
Uninsky 1971   48  0.3869  0.0057  0.0654  0.0672  0.0465  0.05
Wasowski 1980   4  0.527  0.045  0.204  0.703  0.653  0.67
Zak 1937   18  0.4446  0.0030  0.0829  0.2822  0.3829  0.33
Zak 1951   20  0.4451  0.0029  0.0725  0.3022  0.4126  0.35
Random 1   89  0.0376  0.0089  0.0288  0.0233  0.2554  0.07
Random 2   88  0.0385  0.0088  0.0289  0.0231  0.2252  0.07
Random 3   90  -0.0990  0.0090  0.0190  0.0168  0.0389  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).