Bunin 1987b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.302  0.0044  0.0542  0.1467  0.0451  0.07
Anderszewski 2003   89  0.0012  0.0089  0.0290  0.0288  0.0288  0.02
Ashkenazy 1981   4  0.4713  0.006  0.116  0.6533  0.459  0.54
Bacha 2000   77  0.1314  0.0076  0.0474  0.0487  0.0277  0.03
Badura 1965   67  0.2015  0.0071  0.0471  0.0472  0.0380  0.03
Barbosa 1983   32  0.3316  0.0028  0.0825  0.4129  0.3625  0.38
Biret 1990   45  0.2817  0.0043  0.0540  0.1629  0.4635  0.27
Blet 2003   21  0.3818  0.0011  0.1212  0.5626  0.5010  0.53
Block 1995   53  0.2619  0.0054  0.0847  0.0876  0.0455  0.06
Blumental 1952   58  0.243  0.0046  0.0560  0.0540  0.1645  0.09
Boshniakovich 1969   52  0.2620  0.0053  0.0748  0.0768  0.0463  0.05
Brailowsky 1960   66  0.2121  0.0069  0.0469  0.0453  0.0757  0.05
Bunin 1987   1  1.001  1.001  0.991  1.001  1.001  1.00
Bunin 1987b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   13  0.4022  0.0021  0.0815  0.5534  0.3220  0.42
Cohen 1997   74  0.1523  0.0077  0.0475  0.0485  0.0282  0.03
Cortot 1951   78  0.1224  0.0078  0.0378  0.0372  0.0383  0.03
Csalog 1996   47  0.2825  0.0041  0.0641  0.1530  0.3238  0.22
Czerny 1949   79  0.1126  0.0086  0.0383  0.0347  0.0761  0.05
Czerny 1990   20  0.3927  0.0026  0.0921  0.4827  0.5811  0.53
Duchoud 2007   22  0.3728  0.0016  0.0911  0.5716  0.528  0.54
Ezaki 2006   68  0.2029  0.0045  0.0545  0.1060  0.0548  0.07
Falvay 1989   37  0.3030  0.0038  0.0838  0.2046  0.1042  0.14
Farrell 1958   25  0.3531  0.0031  0.1026  0.4111  0.5217  0.46
Ferenczy 1958   84  0.0732  0.0087  0.0381  0.0354  0.0671  0.04
Fliere 1977   8  0.4333  0.005  0.1116  0.5340  0.4116  0.47
Fou 1978   43  0.2834  0.0060  0.0656  0.0662  0.0460  0.05
Francois 1956   64  0.2135  0.0068  0.0561  0.0556  0.0665  0.05
Friedman 1923   19  0.3936  0.0017  0.0713  0.5630  0.4912  0.52
Friedman 1923b   14  0.4037  0.0012  0.0710  0.6028  0.527  0.56
Friedman 1930   12  0.4138  0.008  0.117  0.6519  0.605  0.62
Garcia 2007   48  0.284  0.0048  0.0750  0.0766  0.0554  0.06
Garcia 2007b   7  0.4439  0.004  0.219  0.629  0.694  0.65
Gierzod 1998   83  0.075  0.0083  0.0379  0.0383  0.0289  0.02
Gornostaeva 1994   71  0.1640  0.0065  0.0466  0.0468  0.0473  0.04
Groot 1988   17  0.4041  0.0022  0.1027  0.4036  0.2430  0.31
Harasiewicz 1955   61  0.2242  0.0066  0.0657  0.0677  0.0464  0.05
Hatto 1993   36  0.3143  0.0019  0.0830  0.3941  0.2233  0.29
Hatto 1997   39  0.3044  0.0015  0.1031  0.3828  0.2927  0.33
Horowitz 1949   5  0.4745  0.007  0.115  0.6613  0.693  0.67
Indjic 1988   31  0.3346  0.0014  0.0818  0.5132  0.3421  0.42
Kapell 1951   15  0.4047  0.0013  0.0814  0.5620  0.4414  0.50
Kissin 1993   62  0.2248  0.0058  0.0473  0.0448  0.0852  0.06
Kushner 1989   34  0.3249  0.0049  0.0946  0.0948  0.0846  0.08
Luisada 1991   6  0.4650  0.0010  0.148  0.6318  0.596  0.61
Lushtak 2004   46  0.2851  0.0047  0.0658  0.0632  0.1944  0.11
Malcuzynski 1961   16  0.4052  0.0033  0.1129  0.4030  0.2629  0.32
Magaloff 1978   40  0.2953  0.0042  0.0644  0.1163  0.0549  0.07
Magin 1975   50  0.2754  0.0040  0.0643  0.1341  0.2440  0.18
Michalowski 1933   30  0.3455  0.0037  0.0936  0.2743  0.2037  0.23
Milkina 1970   82  0.0856  0.0082  0.0384  0.0375  0.0378  0.03
Mohovich 1999   80  0.1157  0.0081  0.0386  0.0370  0.0481  0.03
Moravec 1969   29  0.3458  0.0039  0.0739  0.1841  0.1341  0.15
Morozova 2008   23  0.3659  0.0024  0.1122  0.4623  0.3524  0.40
Neighaus 1950   55  0.2560  0.0061  0.0564  0.0569  0.0475  0.04
Niedzielski 1931   24  0.366  0.0034  0.1133  0.3234  0.2534  0.28
Ohlsson 1999   41  0.2961  0.0057  0.0472  0.0484  0.0379  0.03
Osinska 1989   73  0.1662  0.0064  0.0467  0.0460  0.0566  0.04
Pachmann 1927   26  0.3563  0.0027  0.0823  0.4231  0.4619  0.44
Paderewski 1930   60  0.237  0.0050  0.0749  0.0752  0.0750  0.07
Perlemuter 1992   54  0.2664  0.0056  0.0654  0.0653  0.0556  0.05
Pierdomenico 2008   42  0.2865  0.0052  0.0751  0.0737  0.1943  0.12
Poblocka 1999   28  0.3466  0.0030  0.0828  0.4022  0.4222  0.41
Rabcewiczowa 1932   69  0.1867  0.0075  0.0477  0.0459  0.0659  0.05
Rachmaninoff 1923   2  0.588  0.002  0.332  0.792  0.832  0.81
Rangell 2001   63  0.2268  0.0072  0.0562  0.0578  0.0374  0.04
Richter 1976   33  0.3369  0.0023  0.0824  0.4140  0.3923  0.40
Rosen 1989   57  0.2570  0.0051  0.0655  0.0670  0.0372  0.04
Rosenthal 1930   51  0.279  0.0067  0.0653  0.0657  0.0562  0.05
Rosenthal 1931   88  0.0471  0.0085  0.0288  0.0284  0.0287  0.02
Rosenthal 1931b   81  0.0972  0.0079  0.0382  0.0376  0.0384  0.03
Rosenthal 1931c   75  0.1510  0.0074  0.0476  0.0475  0.0385  0.03
Rosenthal 1931d   72  0.1673  0.0070  0.0470  0.0442  0.1747  0.08
Rossi 2007   87  0.0574  0.0080  0.0385  0.0350  0.0567  0.04
Rubinstein 1939   59  0.2311  0.0059  0.0563  0.0572  0.0468  0.04
Rubinstein 1952   70  0.1675  0.0062  0.0468  0.0457  0.0576  0.04
Rubinstein 1966   76  0.1376  0.0073  0.0565  0.0583  0.0370  0.04
Schilhawsky 1960   44  0.2877  0.0036  0.0937  0.2227  0.3932  0.29
Shebanova 2002   10  0.4378  0.009  0.124  0.6740  0.3913  0.51
Smith 1975   85  0.0679  0.0088  0.0287  0.0285  0.0286  0.02
Sokolov 2002   56  0.2580  0.0055  0.0752  0.0760  0.0358  0.05
Sztompka 1959   11  0.4181  0.0020  0.0917  0.5231  0.3918  0.45
Tomsic 1995   49  0.2782  0.0029  0.0834  0.2831  0.2136  0.24
Uninsky 1932   18  0.3983  0.0025  0.1219  0.5140  0.2128  0.33
Uninsky 1971   65  0.2184  0.0063  0.0659  0.0681  0.0369  0.04
Wasowski 1980   9  0.4385  0.0018  0.0920  0.5031  0.4615  0.48
Zak 1937   27  0.3486  0.0032  0.1132  0.3529  0.3726  0.36
Zak 1951   35  0.3287  0.0035  0.1035  0.2733  0.3231  0.29
Average   3  0.5388  0.003  0.323  0.7853  0.0639  0.22
Random 1   90  -0.0289  0.0090  0.0289  0.0271  0.0390  0.02
Random 2   86  0.0590  0.0084  0.0380  0.0344  0.1353  0.06
Random 3   91  -0.1091  0.0091  0.0191  0.0149  0.0491  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).