Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  0.2178  0.0075  0.0473  0.0484  0.0384  0.03
Anderszewski 2003   33  0.2918  0.0115  0.1814  0.4412  0.5410  0.49
Ashkenazy 1981   42  0.2838  0.0030  0.0738  0.1345  0.0936  0.11
Bacha 2000   51  0.2662  0.0063  0.0562  0.0560  0.0558  0.05
Badura 1965   68  0.2056  0.0021  0.0829  0.2034  0.2822  0.24
Barbosa 1983   6  0.435  0.069  0.1218  0.3931  0.3219  0.35
Biret 1990   79  0.1674  0.0073  0.0474  0.0455  0.0575  0.04
Blet 2003   72  0.1942  0.0058  0.0649  0.0656  0.0654  0.06
Block 1995   10  0.374  0.064  0.1311  0.5035  0.3516  0.42
Blumental 1952   44  0.2739  0.0037  0.0536  0.1548  0.0645  0.09
Boshniakovich 1969   4  0.443  0.143  0.212  0.6918  0.535  0.60
Brailowsky 1960   47  0.2640  0.0054  0.0566  0.0543  0.1247  0.08
Bunin 1987   39  0.2869  0.0035  0.0632  0.1958  0.0637  0.11
Bunin 1987b   38  0.2884  0.0034  0.0531  0.1957  0.0635  0.11
Chiu 1999   15  0.3520  0.0040  0.0543  0.1065  0.0550  0.07
Cohen 1997   14  0.3536  0.0019  0.1117  0.4127  0.4417  0.42
Cortot 1951   31  0.2944  0.0043  0.0440  0.1136  0.2626  0.17
Csalog 1996   57  0.2314  0.0141  0.0444  0.0967  0.0551  0.07
Czerny 1949   84  0.1185  0.0088  0.0281  0.0258  0.0583  0.03
Czerny 1990   82  0.1486  0.0086  0.0282  0.0284  0.0290  0.02
Duchoud 2007   24  0.3187  0.0024  0.0527  0.2151  0.0731  0.12
Ezaki 2006   28  0.2949  0.0048  0.0553  0.0542  0.2039  0.10
Falvay 1989   30  0.2928  0.0028  0.0530  0.2055  0.0540  0.10
Farrell 1958   13  0.3511  0.0110  0.1315  0.449  0.5211  0.48
Ferenczy 1958   60  0.2329  0.0046  0.0650  0.0632  0.5524  0.18
Fliere 1977   27  0.3051  0.0036  0.0533  0.1870  0.0446  0.08
Fou 1978   8  0.3812  0.017  0.166  0.5916  0.458  0.52
Francois 1956   75  0.1845  0.0065  0.0567  0.0558  0.0476  0.04
Friedman 1923   32  0.2979  0.0042  0.0441  0.1150  0.0944  0.10
Friedman 1923b   46  0.2775  0.0051  0.0651  0.0657  0.0757  0.06
Friedman 1930   36  0.2826  0.0047  0.0557  0.0549  0.0855  0.06
Garcia 2007   43  0.2780  0.0027  0.0725  0.2550  0.0632  0.12
Garcia 2007b   77  0.1715  0.0138  0.0637  0.1346  0.0843  0.10
Gierzod 1998   11  0.3716  0.0112  0.138  0.5912  0.654  0.62
Gornostaeva 1994   45  0.2753  0.0059  0.0561  0.0550  0.0666  0.05
Groot 1988   76  0.1750  0.0079  0.0565  0.0586  0.0286  0.03
Harasiewicz 1955   23  0.3246  0.0061  0.0646  0.0674  0.0467  0.05
Hatto 1993   80  0.1588  0.0084  0.0288  0.0279  0.0487  0.03
Hatto 1997   69  0.1970  0.0076  0.0378  0.0380  0.0382  0.03
Horowitz 1949   65  0.2121  0.0069  0.0377  0.0354  0.0671  0.04
Indjic 1988   83  0.1381  0.0085  0.0284  0.0278  0.0481  0.03
Kapell 1951   35  0.2882  0.0050  0.0559  0.0563  0.0662  0.05
Kissin 1993   21  0.3347  0.0014  0.1910  0.5229  0.479  0.49
Kushner 1989   3  0.4510  0.018  0.135  0.6018  0.506  0.55
Luisada 1991   62  0.2189  0.0072  0.0471  0.0480  0.0469  0.04
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   1  0.482  0.192  0.231  0.737  0.641  0.68
Magaloff 1978   17  0.349  0.0213  0.139  0.5231  0.3713  0.44
Magin 1975   74  0.1865  0.0078  0.0563  0.0553  0.0752  0.06
Michalowski 1933   86  0.0876  0.0087  0.0283  0.0278  0.0480  0.03
Milkina 1970   87  0.0783  0.0083  0.0287  0.0281  0.0389  0.02
Mohovich 1999   12  0.356  0.0416  0.1323  0.2837  0.2321  0.25
Moravec 1969   63  0.2124  0.0066  0.0472  0.0481  0.0377  0.03
Morozova 2008   18  0.3417  0.0139  0.0539  0.1260  0.0548  0.08
Neighaus 1950   26  0.3027  0.0033  0.0724  0.2669  0.0441  0.10
Niedzielski 1931   61  0.2271  0.0067  0.0569  0.0560  0.0561  0.05
Ohlsson 1999   48  0.2658  0.0052  0.0470  0.0444  0.0853  0.06
Osinska 1989   34  0.2825  0.0032  0.0635  0.1841  0.1327  0.15
Pachmann 1927   49  0.2654  0.0053  0.0564  0.0572  0.0564  0.05
Paderewski 1930   53  0.2531  0.0031  0.0726  0.2345  0.0730  0.13
Perlemuter 1992   50  0.2660  0.0055  0.0652  0.0676  0.0460  0.05
Pierdomenico 2008   52  0.2534  0.0070  0.0560  0.0561  0.0470  0.04
Poblocka 1999   40  0.2830  0.0020  0.0921  0.3261  0.0529  0.13
Rabcewiczowa 1932   55  0.2590  0.0060  0.0745  0.0741  0.1734  0.11
Rachmaninoff 1923   78  0.1766  0.0074  0.0379  0.0381  0.0378  0.03
Rangell 2001   16  0.3413  0.0111  0.1313  0.4620  0.3818  0.42
Richter 1976   22  0.3377  0.0049  0.0554  0.0568  0.0563  0.05
Rosen 1989   19  0.3455  0.0022  0.0819  0.3857  0.0433  0.12
Rosenthal 1930   81  0.1472  0.0081  0.0285  0.0269  0.0485  0.03
Rosenthal 1931   29  0.2948  0.0026  0.0820  0.3319  0.5914  0.44
Rosenthal 1931b   25  0.3173  0.0025  0.0522  0.3116  0.6315  0.44
Rosenthal 1931c   56  0.2437  0.0057  0.0556  0.0539  0.2242  0.10
Rosenthal 1931d   67  0.2067  0.0062  0.0555  0.0539  0.2438  0.11
Rossi 2007   58  0.2319  0.0123  0.0634  0.184  0.6420  0.34
Rubinstein 1939   71  0.1957  0.0077  0.0475  0.0481  0.0379  0.03
Rubinstein 1952   59  0.2332  0.0056  0.0648  0.0661  0.0568  0.05
Rubinstein 1966   2  0.451  0.291  0.287  0.597  0.507  0.54
Schilhawsky 1960   20  0.338  0.0218  0.1216  0.4215  0.4812  0.45
Shebanova 2002   9  0.3822  0.0017  0.1212  0.4663  0.0725  0.18
Smith 1975   37  0.2841  0.0044  0.0542  0.1036  0.2328  0.15
Sokolov 2002   85  0.1168  0.0080  0.0380  0.0388  0.0188  0.02
Sztompka 1959   73  0.1843  0.0068  0.0476  0.0463  0.0572  0.04
Tomsic 1995   64  0.2152  0.0029  0.0628  0.2136  0.1523  0.18
Uninsky 1932   54  0.2563  0.0064  0.0647  0.0674  0.0465  0.05
Uninsky 1971   41  0.2833  0.0045  0.0558  0.0574  0.0373  0.04
Wasowski 1980   70  0.1935  0.0071  0.0568  0.0559  0.0559  0.05
Zak 1937   7  0.437  0.036  0.164  0.6110  0.663  0.63
Zak 1951   5  0.4423  0.005  0.143  0.617  0.682  0.64
Random 1   90  -0.0164  0.0089  0.0189  0.0139  0.1374  0.04
Random 2   88  0.0561  0.0082  0.0286  0.0226  0.3049  0.08
Random 3   89  -0.0159  0.0090  0.0190  0.0115  0.4056  0.06

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).