Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   86  0.2285  0.0087  0.0466  0.0485  0.0389  0.03
Anderszewski 2003   19  0.4225  0.0011  0.119  0.6311  0.647  0.63
Ashkenazy 1981   70  0.3059  0.0040  0.0445  0.0761  0.0666  0.06
Bacha 2000   69  0.3088  0.0076  0.0388  0.0339  0.1951  0.08
Badura 1965   68  0.3072  0.0034  0.0638  0.1023  0.3434  0.18
Barbosa 1983   4  0.493  0.086  0.1517  0.5323  0.4020  0.46
Biret 1990   51  0.3356  0.0047  0.0649  0.0639  0.2247  0.11
Blet 2003   72  0.2948  0.0068  0.0475  0.0451  0.0577  0.04
Block 1995   13  0.4339  0.0021  0.1522  0.4725  0.4719  0.47
Blumental 1952   41  0.3589  0.0058  0.0553  0.0567  0.0571  0.05
Boshniakovich 1969   12  0.4419  0.009  0.1010  0.6123  0.4513  0.52
Brailowsky 1960   32  0.3853  0.0035  0.0635  0.1627  0.4030  0.25
Bunin 1987   40  0.3562  0.0031  0.0833  0.2122  0.4229  0.30
Bunin 1987b   48  0.3578  0.0030  0.0832  0.2318  0.4527  0.32
Chiu 1999   30  0.3832  0.0042  0.0539  0.1051  0.0554  0.07
Cohen 1997   43  0.3564  0.0046  0.0557  0.0514  0.5835  0.17
Cortot 1951   61  0.3143  0.0067  0.0474  0.0444  0.1357  0.07
Csalog 1996   47  0.3517  0.0043  0.0441  0.0842  0.1249  0.10
Czerny 1949   62  0.3086  0.0077  0.0386  0.0354  0.0679  0.04
Czerny 1990   45  0.3568  0.0059  0.0465  0.0478  0.0481  0.04
Duchoud 2007   56  0.3283  0.0052  0.0463  0.0423  0.3444  0.12
Ezaki 2006   23  0.4165  0.0029  0.0627  0.3235  0.4024  0.36
Falvay 1989   14  0.439  0.0122  0.1320  0.5028  0.3221  0.40
Farrell 1958   15  0.4311  0.0114  0.1614  0.558  0.579  0.56
Ferenczy 1958   58  0.3214  0.0165  0.0468  0.0429  0.5439  0.15
Fliere 1977   16  0.4340  0.0016  0.1213  0.5741  0.2125  0.35
Fou 1978   25  0.4051  0.0020  0.1518  0.5325  0.4218  0.47
Francois 1956   71  0.3076  0.0070  0.0562  0.0527  0.3146  0.12
Friedman 1923   52  0.3374  0.0063  0.0473  0.0443  0.1158  0.07
Friedman 1923b   60  0.3182  0.0064  0.0550  0.0544  0.1352  0.08
Friedman 1930   55  0.3254  0.0062  0.0558  0.0553  0.0669  0.05
Garcia 2007   74  0.2957  0.0073  0.0555  0.0548  0.0670  0.05
Garcia 2007b   66  0.3090  0.0054  0.0554  0.0532  0.2348  0.11
Gierzod 1998   6  0.477  0.024  0.174  0.708  0.653  0.67
Gornostaeva 1994   28  0.3933  0.0038  0.0636  0.1437  0.2632  0.19
Groot 1988   63  0.3030  0.0037  0.0637  0.1357  0.0553  0.08
Harasiewicz 1955   10  0.4642  0.0025  0.1023  0.4264  0.0541  0.14
Hatto 1993   46  0.3584  0.0060  0.0467  0.0470  0.0482  0.04
Hatto 1997   34  0.3752  0.0048  0.0648  0.0646  0.0665  0.06
Horowitz 1949   83  0.2437  0.0085  0.0387  0.0384  0.0386  0.03
Indjic 1988   50  0.3460  0.0061  0.0561  0.0548  0.0863  0.06
Kapell 1951   26  0.4041  0.0028  0.0828  0.3248  0.0838  0.16
Kissin 1993   20  0.4245  0.0018  0.1112  0.5719  0.598  0.58
Kushner 1989   3  0.516  0.023  0.163  0.7512  0.602  0.67
Luisada 1991   65  0.3091  0.0080  0.0382  0.0371  0.0572  0.04
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   5  0.4921  0.005  0.115  0.698  0.625  0.65
Magaloff 1978   21  0.4220  0.0015  0.1116  0.5314  0.5014  0.51
Magin 1975   49  0.3435  0.0055  0.0647  0.0657  0.0567  0.05
Michalowski 1933   88  0.1147  0.0088  0.0385  0.0380  0.0388  0.03
Milkina 1970   75  0.2979  0.0066  0.0471  0.0469  0.0475  0.04
Mohovich 1999   18  0.4316  0.0023  0.1424  0.3831  0.3823  0.38
Moravec 1969   42  0.3536  0.0041  0.0443  0.0762  0.0559  0.06
Morozova 2008   31  0.3810  0.0139  0.0440  0.1064  0.0464  0.06
Neighaus 1950   37  0.3773  0.0045  0.0442  0.0842  0.1845  0.12
Niedzielski 1931   85  0.2358  0.0086  0.0464  0.0485  0.0385  0.03
Ohlsson 1999   33  0.3829  0.0026  0.1125  0.3727  0.3126  0.34
Osinska 1989   11  0.4413  0.0112  0.1211  0.6021  0.5011  0.55
Pachmann 1927   77  0.2855  0.0074  0.0476  0.0447  0.0862  0.06
Paderewski 1930   87  0.1970  0.0083  0.0377  0.0366  0.0487  0.03
Perlemuter 1992   76  0.2861  0.0069  0.0378  0.0354  0.0673  0.04
Pierdomenico 2008   79  0.2880  0.0078  0.0380  0.0346  0.0674  0.04
Poblocka 1999   17  0.4318  0.0017  0.1319  0.5126  0.4616  0.48
Rabcewiczowa 1932   39  0.3669  0.0024  0.1126  0.3526  0.4522  0.40
Rachmaninoff 1923   78  0.2866  0.0079  0.0379  0.0377  0.0384  0.03
Rangell 2001   22  0.418  0.0113  0.1321  0.509  0.5912  0.54
Richter 1976   27  0.3924  0.0033  0.0731  0.2555  0.0643  0.12
Rosen 1989   29  0.3926  0.0032  0.1129  0.3047  0.0642  0.13
Rosenthal 1930   80  0.2627  0.0084  0.0383  0.0369  0.0490  0.03
Rosenthal 1931   53  0.3263  0.0051  0.0560  0.0517  0.6333  0.18
Rosenthal 1931b   67  0.3046  0.0057  0.0559  0.0518  0.5836  0.17
Rosenthal 1931c   73  0.2971  0.0071  0.0472  0.0435  0.2250  0.09
Rosenthal 1931d   84  0.2434  0.0082  0.0381  0.0338  0.1656  0.07
Rossi 2007   82  0.2528  0.0072  0.0469  0.0413  0.4840  0.14
Rubinstein 1939   57  0.3267  0.0053  0.0551  0.0545  0.0861  0.06
Rubinstein 1952   24  0.4115  0.0019  0.1315  0.5429  0.4615  0.50
Rubinstein 1966   2  0.552  0.132  0.532  0.789  0.691  0.73
Schilhawsky 1960   35  0.374  0.0227  0.1130  0.2518  0.4028  0.32
Shebanova 2002   8  0.4712  0.0110  0.137  0.6522  0.4810  0.56
Smith 1975   36  0.3744  0.0049  0.0746  0.0727  0.3837  0.16
Sokolov 2002   81  0.2577  0.0081  0.0384  0.0377  0.0383  0.03
Sztompka 1959   59  0.3149  0.0075  0.0470  0.0478  0.0476  0.04
Tomsic 1995   54  0.3275  0.0036  0.0634  0.1728  0.2731  0.21
Uninsky 1932   64  0.3022  0.0056  0.0552  0.0562  0.0478  0.04
Uninsky 1971   38  0.3638  0.0050  0.0556  0.0548  0.0668  0.05
Wasowski 1980   44  0.3531  0.0044  0.0444  0.0749  0.0660  0.06
Zak 1937   9  0.465  0.028  0.148  0.636  0.656  0.64
Zak 1951   7  0.4723  0.007  0.156  0.676  0.654  0.66
Average   1  0.601  0.571  0.561  0.8536  0.2717  0.48
Random 1   91  -0.0881  0.0091  0.0191  0.0177  0.0291  0.01
Random 2   89  0.0450  0.0089  0.0289  0.0230  0.2455  0.07
Random 3   90  -0.0687  0.0090  0.0190  0.0139  0.1580  0.04

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).