Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.5851  0.0044  0.0544  0.1040  0.1052  0.10
Anderszewski 2003   39  0.602  0.212  0.2113  0.3811  0.509  0.44
Ashkenazy 1981   25  0.6419  0.0117  0.0812  0.3920  0.3517  0.37
Bacha 2000   71  0.4335  0.0078  0.0286  0.0257  0.0474  0.03
Badura 1965   52  0.5450  0.0046  0.0461  0.0429  0.2948  0.11
Barbosa 1983   29  0.6244  0.0043  0.0442  0.1125  0.3737  0.20
Biret 1990   44  0.5923  0.0127  0.0625  0.2917  0.3124  0.30
Blet 2003   24  0.6428  0.0018  0.0618  0.3619  0.3718  0.36
Block 1995   73  0.4339  0.0059  0.0371  0.0358  0.0482  0.03
Blumental 1952   81  0.3941  0.0068  0.0374  0.0343  0.0965  0.05
Boshniakovich 1969   57  0.4961  0.0064  0.0375  0.0368  0.0384  0.03
Brailowsky 1960   62  0.4766  0.0076  0.0380  0.0347  0.0669  0.04
Bunin 1987   3  0.746  0.036  0.193  0.564  0.563  0.56
Bunin 1987b   4  0.7412  0.027  0.264  0.564  0.562  0.56
Chiu 1999   75  0.4279  0.0069  0.0370  0.0358  0.0476  0.03
Cohen 1997   86  0.2783  0.0086  0.0372  0.0361  0.0485  0.03
Cortot 1951   15  0.6784  0.0025  0.0715  0.3818  0.4313  0.40
Csalog 1996   69  0.4585  0.0077  0.0287  0.0245  0.1263  0.05
Czerny 1949   21  0.6526  0.0126  0.0620  0.3423  0.3619  0.35
Czerny 1990   19  0.6637  0.0019  0.0717  0.3729  0.2326  0.29
Duchoud 2007   11  0.6968  0.0013  0.0816  0.3818  0.4312  0.40
Ezaki 2006   9  0.6991  0.0012  0.1010  0.4226  0.2520  0.32
Falvay 1989   47  0.5738  0.0056  0.0556  0.0551  0.0560  0.05
Farrell 1958   43  0.5914  0.0254  0.0460  0.0413  0.2947  0.11
Ferenczy 1958   18  0.6672  0.0024  0.0814  0.385  0.5210  0.44
Fliere 1977   12  0.6889  0.0035  0.0731  0.2358  0.0450  0.10
Fou 1978   76  0.4157  0.0082  0.0381  0.0372  0.0477  0.03
Francois 1956   16  0.6669  0.0038  0.0630  0.2426  0.2534  0.24
Friedman 1923   84  0.2822  0.0171  0.0462  0.0426  0.2949  0.11
Friedman 1923b   83  0.3042  0.0070  0.0558  0.0524  0.3346  0.13
Friedman 1930   60  0.4816  0.0152  0.0746  0.0722  0.3541  0.16
Garcia 2007   80  0.4056  0.0053  0.0555  0.059  0.4442  0.15
Garcia 2007b   87  0.1825  0.0185  0.0373  0.0340  0.1066  0.05
Gierzod 1998   8  0.699  0.0231  0.0624  0.2920  0.2433  0.26
Gornostaeva 1994   48  0.5743  0.0061  0.0466  0.0453  0.0472  0.04
Groot 1988   14  0.6727  0.0139  0.0736  0.2042  0.1144  0.15
Harasiewicz 1955   30  0.6234  0.0011  0.1211  0.4116  0.3715  0.39
Hatto 1993   78  0.4021  0.0116  0.0738  0.1912  0.3730  0.27
Hatto 1997   64  0.4632  0.0014  0.0834  0.2118  0.3828  0.28
Horowitz 1949   32  0.6210  0.0240  0.0639  0.1622  0.3136  0.22
Indjic 1988   77  0.418  0.0315  0.0637  0.2022  0.3532  0.26
Kapell 1951   2  0.783  0.073  0.192  0.593  0.561  0.57
Kissin 1993   66  0.4674  0.0075  0.0376  0.0376  0.0379  0.03
Kushner 1989   37  0.6070  0.0055  0.0650  0.0665  0.0461  0.05
Luisada 1991   70  0.4573  0.0067  0.0463  0.0469  0.0468  0.04
Lushtak 2004   7  0.704  0.045  0.195  0.5111  0.495  0.50
Malcuzynski 1961   13  0.6840  0.0033  0.0629  0.2447  0.0745  0.13
Magaloff 1978   36  0.6113  0.0241  0.0641  0.1278  0.0357  0.06
Magin 1975   72  0.4348  0.0060  0.0554  0.0557  0.0470  0.04
Michalowski 1933   56  0.5115  0.0122  0.0819  0.3616  0.4314  0.39
Milkina 1970   61  0.4862  0.0083  0.0465  0.0468  0.0471  0.04
Mohovich 1999   31  0.6275  0.0048  0.0552  0.0543  0.0858  0.06
Moravec 1969   46  0.5782  0.0063  0.0464  0.0459  0.0467  0.04
Morozova 2008   54  0.5329  0.0045  0.0545  0.1045  0.0753  0.08
Neighaus 1950   27  0.6347  0.0030  0.0533  0.2240  0.1738  0.19
Niedzielski 1931   51  0.5449  0.0050  0.0648  0.064  0.5139  0.17
Ohlsson 1999   22  0.6563  0.0036  0.0628  0.2521  0.2831  0.26
Osinska 1989   49  0.5660  0.0058  0.0649  0.0653  0.0459  0.05
Pachmann 1927   79  0.4055  0.0073  0.0378  0.0365  0.0478  0.03
Paderewski 1930   40  0.605  0.0342  0.0543  0.1021  0.2640  0.16
Perlemuter 1992   28  0.6330  0.0021  0.0721  0.2919  0.3423  0.31
Pierdomenico 2008   65  0.4677  0.0079  0.0285  0.0271  0.0388  0.02
Poblocka 1999   10  0.6920  0.018  0.169  0.4712  0.487  0.47
Rabcewiczowa 1932   53  0.5486  0.0057  0.0559  0.0545  0.0954  0.07
Rachmaninoff 1923   41  0.5978  0.0023  0.0823  0.2915  0.3521  0.32
Rangell 2001   63  0.4787  0.0080  0.0384  0.0364  0.0486  0.03
Richter 1976   33  0.6136  0.0020  0.0626  0.284  0.4816  0.37
Rosen 1989   67  0.4558  0.0081  0.0383  0.0349  0.0483  0.03
Rosenthal 1930   34  0.6164  0.0051  0.0747  0.0726  0.3343  0.15
Rosenthal 1931   55  0.5171  0.0065  0.0468  0.0447  0.0662  0.05
Rosenthal 1931b   59  0.4824  0.0162  0.0467  0.0450  0.0573  0.04
Rosenthal 1931c   20  0.6511  0.0237  0.0635  0.2113  0.4325  0.30
Rosenthal 1931d   58  0.4931  0.0066  0.0553  0.0541  0.1056  0.07
Rossi 2007   85  0.2845  0.0074  0.0382  0.0353  0.0375  0.03
Rubinstein 1939   88  0.1565  0.0089  0.0189  0.0178  0.0389  0.02
Rubinstein 1952   82  0.3754  0.0087  0.0379  0.0372  0.0387  0.03
Rubinstein 1966   74  0.4333  0.0084  0.0377  0.0376  0.0380  0.03
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   68  0.4559  0.0072  0.0369  0.0370  0.0381  0.03
Smith 1975   6  0.7118  0.019  0.167  0.479  0.3411  0.40
Sokolov 2002   5  0.747  0.034  0.226  0.502  0.534  0.51
Sztompka 1959   23  0.6452  0.0032  0.0622  0.2923  0.3622  0.32
Tomsic 1995   42  0.5976  0.0049  0.0551  0.0542  0.1055  0.07
Uninsky 1932   50  0.5646  0.0028  0.0732  0.2328  0.3229  0.27
Uninsky 1971   17  0.6617  0.0110  0.158  0.4712  0.458  0.46
Wasowski 1980   38  0.6088  0.0034  0.0540  0.147  0.3735  0.23
Zak 1937   35  0.6167  0.0047  0.0557  0.0535  0.2151  0.10
Zak 1951   26  0.6453  0.0029  0.0527  0.2626  0.3127  0.28
Average   1  0.791  0.221  0.221  0.6212  0.396  0.49
Random 1   91  -0.0690  0.0091  0.0191  0.0161  0.0490  0.02
Random 2   90  -0.0480  0.0088  0.0288  0.0242  0.1164  0.05
Random 3   89  -0.0381  0.0090  0.0190  0.0175  0.0391  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).