Bunin 1987b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.2649  0.0077  0.0372  0.0385  0.0379  0.03
Anderszewski 2003   77  0.2450  0.0068  0.0385  0.0370  0.0475  0.03
Ashkenazy 1981   12  0.4028  0.0027  0.1024  0.4134  0.2718  0.33
Bacha 2000   75  0.2451  0.0066  0.0376  0.0360  0.0470  0.03
Badura 1965   57  0.2920  0.0047  0.0747  0.0755  0.0455  0.05
Barbosa 1983   11  0.4052  0.0010  0.1012  0.5138  0.2117  0.33
Biret 1990   40  0.3253  0.0037  0.0640  0.1951  0.0640  0.11
Blet 2003   18  0.3854  0.0011  0.1210  0.5317  0.485  0.50
Block 1995   66  0.2715  0.0056  0.0460  0.0460  0.0564  0.04
Blumental 1952   47  0.3155  0.0044  0.0843  0.1657  0.0644  0.10
Boshniakovich 1969   26  0.3516  0.0031  0.0829  0.3361  0.0534  0.13
Brailowsky 1960   74  0.2556  0.0081  0.0467  0.0464  0.0558  0.04
Bunin 1987   1  0.981  1.001  0.991  1.001  1.001  1.00
Bunin 1987b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   22  0.3721  0.0024  0.0925  0.4125  0.2716  0.33
Cohen 1997   81  0.227  0.0076  0.0387  0.0369  0.0381  0.03
Cortot 1951   86  0.1557  0.0086  0.0382  0.0381  0.0290  0.02
Csalog 1996   36  0.3329  0.0039  0.0636  0.2330  0.2228  0.22
Czerny 1949   59  0.2858  0.0078  0.0468  0.0463  0.0562  0.04
Czerny 1990   16  0.385  0.0026  0.0922  0.4242  0.1526  0.25
Duchoud 2007   49  0.3113  0.0021  0.1423  0.4214  0.4711  0.44
Ezaki 2006   35  0.3411  0.0032  0.0833  0.2776  0.0441  0.10
Falvay 1989   20  0.3759  0.0014  0.1020  0.4245  0.0830  0.18
Farrell 1958   32  0.3460  0.0034  0.0835  0.2455  0.0638  0.12
Ferenczy 1958   83  0.2161  0.0084  0.0373  0.0374  0.0477  0.03
Fliere 1977   4  0.4330  0.002  0.219  0.5335  0.2613  0.37
Fou 1978   69  0.2662  0.0075  0.0380  0.0387  0.0287  0.02
Francois 1956   78  0.2422  0.0071  0.0384  0.0370  0.0485  0.03
Friedman 1923   68  0.2631  0.0052  0.0552  0.0554  0.0657  0.05
Friedman 1923b   58  0.2863  0.0050  0.0649  0.0647  0.0749  0.06
Friedman 1930   37  0.333  0.0020  0.0915  0.4724  0.469  0.46
Garcia 2007   45  0.3217  0.0038  0.0644  0.1336  0.1633  0.14
Garcia 2007b   10  0.418  0.007  0.104  0.5910  0.652  0.62
Gierzod 1998   72  0.2614  0.0070  0.0378  0.0375  0.0480  0.03
Gornostaeva 1994   43  0.3232  0.0051  0.0650  0.0660  0.0556  0.05
Groot 1988   9  0.4123  0.005  0.1716  0.4731  0.2814  0.36
Harasiewicz 1955   56  0.2964  0.0069  0.0379  0.0381  0.0483  0.03
Hatto 1993   21  0.3765  0.0016  0.1513  0.5043  0.1424  0.26
Hatto 1997   27  0.3566  0.0015  0.0914  0.4836  0.2120  0.32
Horowitz 1949   7  0.4267  0.0017  0.0921  0.4211  0.586  0.49
Indjic 1988   19  0.3768  0.0012  0.1211  0.5336  0.2315  0.35
Kapell 1951   3  0.442  0.008  0.103  0.6128  0.2912  0.42
Kissin 1993   73  0.2524  0.0074  0.0377  0.0378  0.0473  0.03
Kushner 1989   15  0.3869  0.0028  0.0826  0.4046  0.0831  0.18
Luisada 1991   6  0.4218  0.0013  0.118  0.5519  0.417  0.47
Lushtak 2004   28  0.356  0.0025  0.0917  0.4531  0.2321  0.32
Malcuzynski 1961   2  0.4570  0.003  0.132  0.6826  0.444  0.55
Magaloff 1978   39  0.3371  0.0045  0.0945  0.0965  0.0448  0.06
Magin 1975   31  0.3433  0.0041  0.0738  0.2157  0.0543  0.10
Michalowski 1933   79  0.2425  0.0073  0.0375  0.0346  0.0754  0.05
Milkina 1970   53  0.294  0.0058  0.0554  0.0562  0.0552  0.05
Mohovich 1999   67  0.2772  0.0063  0.0466  0.0481  0.0465  0.04
Moravec 1969   17  0.3873  0.0030  0.0932  0.3160  0.0535  0.12
Morozova 2008   14  0.4074  0.009  0.107  0.5628  0.408  0.47
Neighaus 1950   62  0.2775  0.0067  0.0381  0.0369  0.0482  0.03
Niedzielski 1931   48  0.319  0.0046  0.0748  0.0738  0.2037  0.12
Ohlsson 1999   38  0.3334  0.0042  0.0742  0.1880  0.0346  0.07
Osinska 1989   41  0.3235  0.0040  0.0734  0.2571  0.0442  0.10
Pachmann 1927   50  0.3126  0.0048  0.0946  0.0934  0.2432  0.15
Paderewski 1930   80  0.2376  0.0072  0.0386  0.0361  0.0472  0.03
Perlemuter 1992   44  0.3236  0.0059  0.0558  0.0545  0.0847  0.06
Pierdomenico 2008   71  0.2677  0.0065  0.0371  0.0367  0.0471  0.03
Poblocka 1999   25  0.3578  0.0036  0.0637  0.2146  0.0736  0.12
Rabcewiczowa 1932   52  0.3037  0.0054  0.0557  0.0550  0.0651  0.05
Rachmaninoff 1923   5  0.4338  0.004  0.136  0.5816  0.523  0.55
Rangell 2001   54  0.2939  0.0060  0.0559  0.0562  0.0466  0.04
Richter 1976   42  0.3219  0.0033  0.0831  0.3241  0.2025  0.25
Rosen 1989   51  0.3079  0.0035  0.0639  0.2075  0.0345  0.08
Rosenthal 1930   61  0.2727  0.0080  0.0463  0.0459  0.0563  0.04
Rosenthal 1931   85  0.1840  0.0085  0.0465  0.0477  0.0374  0.03
Rosenthal 1931b   82  0.2110  0.0083  0.0461  0.0461  0.0468  0.04
Rosenthal 1931c   64  0.2741  0.0064  0.0374  0.0365  0.0484  0.03
Rosenthal 1931d   76  0.2480  0.0079  0.0470  0.0454  0.0567  0.04
Rossi 2007   84  0.1942  0.0082  0.0464  0.0470  0.0460  0.04
Rubinstein 1939   46  0.3143  0.0053  0.0555  0.0547  0.0550  0.05
Rubinstein 1952   63  0.2744  0.0062  0.0556  0.0564  0.0469  0.04
Rubinstein 1966   65  0.2781  0.0061  0.0469  0.0478  0.0376  0.03
Schilhawsky 1960   30  0.3412  0.0029  0.0830  0.3226  0.3219  0.32
Shebanova 2002   8  0.4182  0.006  0.095  0.5932  0.3410  0.45
Smith 1975   87  0.1383  0.0087  0.0383  0.0386  0.0286  0.02
Sokolov 2002   60  0.2884  0.0055  0.0462  0.0451  0.0559  0.04
Sztompka 1959   29  0.3485  0.0049  0.0551  0.0558  0.0553  0.05
Tomsic 1995   34  0.3486  0.0018  0.0927  0.3931  0.2322  0.30
Uninsky 1932   33  0.3487  0.0043  0.0841  0.1844  0.0839  0.12
Uninsky 1971   55  0.2945  0.0057  0.0553  0.0577  0.0361  0.04
Wasowski 1980   13  0.4088  0.0023  0.0918  0.4442  0.1029  0.21
Zak 1937   24  0.3646  0.0022  0.0928  0.3739  0.1527  0.24
Zak 1951   23  0.3747  0.0019  0.0919  0.4237  0.1923  0.28
Random 1   89  -0.0389  0.0089  0.0289  0.0265  0.0388  0.02
Random 2   88  0.0348  0.0088  0.0288  0.0248  0.0678  0.03
Random 3   90  -0.0790  0.0090  0.0190  0.0167  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).