Rachmaninoff 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.3816  0.0121  0.0920  0.4218  0.4821  0.45
Anderszewski 2003   80  0.2373  0.0079  0.0378  0.0369  0.0481  0.03
Ashkenazy 1981   17  0.415  0.0417  0.1015  0.5224  0.4519  0.48
Bacha 2000   85  0.1751  0.0083  0.0286  0.0277  0.0387  0.02
Badura 1965   62  0.2950  0.0071  0.0462  0.0464  0.0472  0.04
Barbosa 1983   20  0.4015  0.0124  0.0929  0.3451  0.0737  0.15
Biret 1990   11  0.4317  0.017  0.1412  0.5415  0.5812  0.56
Blet 2003   38  0.3538  0.0048  0.0748  0.0743  0.1344  0.10
Block 1995   30  0.3761  0.0034  0.0636  0.2448  0.0740  0.13
Blumental 1952   42  0.359  0.0123  0.1022  0.3932  0.2827  0.33
Boshniakovich 1969   81  0.2272  0.0077  0.0377  0.0371  0.0485  0.03
Brailowsky 1960   12  0.4312  0.0112  0.1114  0.5411  0.664  0.60
Bunin 1987   7  0.4427  0.008  0.109  0.574  0.617  0.59
Bunin 1987b   13  0.4336  0.009  0.1116  0.526  0.5813  0.55
Chiu 1999   33  0.3641  0.0029  0.0727  0.3521  0.3226  0.33
Cohen 1997   75  0.2482  0.0073  0.0461  0.0461  0.0474  0.04
Cortot 1951   68  0.2865  0.0072  0.0556  0.0535  0.2146  0.10
Csalog 1996   43  0.3435  0.0037  0.0838  0.2123  0.3030  0.25
Czerny 1949   63  0.2974  0.0064  0.0473  0.0449  0.0664  0.05
Czerny 1990   5  0.463  0.113  0.242  0.7317  0.672  0.70
Duchoud 2007   61  0.2970  0.0057  0.0555  0.0534  0.2245  0.10
Ezaki 2006   45  0.3425  0.0035  0.0644  0.1149  0.0848  0.09
Falvay 1989   34  0.3667  0.0045  0.0747  0.0756  0.0556  0.06
Farrell 1958   22  0.4014  0.0120  0.1317  0.499  0.5517  0.52
Ferenczy 1958   76  0.2447  0.0082  0.0380  0.0349  0.0763  0.05
Fliere 1977   2  0.502  0.192  0.294  0.6821  0.4810  0.57
Fou 1978   24  0.3858  0.0028  0.1023  0.3840  0.2129  0.28
Francois 1956   67  0.2876  0.0067  0.0470  0.0439  0.1654  0.08
Friedman 1923   15  0.4111  0.0118  0.0913  0.549  0.666  0.60
Friedman 1923b   18  0.4029  0.0019  0.1011  0.5510  0.648  0.59
Friedman 1930   27  0.378  0.0126  0.0919  0.4319  0.5120  0.47
Garcia 2007   74  0.2488  0.0078  0.0375  0.0378  0.0383  0.03
Garcia 2007b   56  0.3077  0.0063  0.0472  0.0463  0.0577  0.04
Gierzod 1998   83  0.1854  0.0075  0.0469  0.0478  0.0382  0.03
Gornostaeva 1994   57  0.3043  0.0053  0.0553  0.0568  0.0475  0.04
Groot 1988   3  0.4810  0.015  0.213  0.7013  0.499  0.59
Harasiewicz 1955   28  0.3766  0.0038  0.0637  0.2378  0.0447  0.10
Hatto 1993   32  0.3756  0.0033  0.0733  0.2648  0.0838  0.14
Hatto 1997   29  0.3718  0.0143  0.0940  0.1943  0.0939  0.13
Horowitz 1949   8  0.4423  0.0010  0.127  0.602  0.703  0.65
Indjic 1988   31  0.3763  0.0042  0.0739  0.2058  0.0642  0.11
Kapell 1951   26  0.3860  0.0039  0.0835  0.2452  0.0641  0.12
Kissin 1993   73  0.2449  0.0080  0.0379  0.0359  0.0671  0.04
Kushner 1989   55  0.3062  0.0061  0.0468  0.0475  0.0468  0.04
Luisada 1991   10  0.436  0.0216  0.0925  0.3828  0.2825  0.33
Lushtak 2004   64  0.2880  0.0069  0.0376  0.0378  0.0384  0.03
Malcuzynski 1961   35  0.3619  0.0141  0.0642  0.1668  0.0549  0.09
Magaloff 1978   19  0.4042  0.0013  0.1026  0.3832  0.2628  0.31
Magin 1975   66  0.2884  0.0074  0.0467  0.0452  0.0661  0.05
Michalowski 1933   70  0.2790  0.0065  0.0471  0.0441  0.1651  0.08
Milkina 1970   60  0.2989  0.0062  0.0459  0.0460  0.0569  0.04
Mohovich 1999   52  0.3259  0.0058  0.0460  0.0482  0.0473  0.04
Moravec 1969   9  0.4326  0.0011  0.135  0.628  0.5111  0.56
Morozova 2008   37  0.3531  0.0031  0.0832  0.3044  0.1036  0.17
Neighaus 1950   71  0.2655  0.0066  0.0374  0.0353  0.0576  0.04
Niedzielski 1931   21  0.4020  0.0122  0.1018  0.469  0.5318  0.49
Ohlsson 1999   54  0.3045  0.0056  0.0465  0.0463  0.0470  0.04
Osinska 1989   72  0.2585  0.0054  0.0464  0.0451  0.0566  0.04
Pachmann 1927   84  0.1887  0.0087  0.0381  0.0373  0.0480  0.03
Paderewski 1930   86  0.1368  0.0084  0.0285  0.0272  0.0388  0.02
Perlemuter 1992   78  0.2330  0.0068  0.0466  0.0444  0.1155  0.07
Pierdomenico 2008   77  0.2337  0.0076  0.0383  0.0344  0.1060  0.05
Poblocka 1999   6  0.457  0.024  0.236  0.6111  0.595  0.60
Rabcewiczowa 1932   46  0.3446  0.0032  0.0931  0.3131  0.3724  0.34
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   79  0.2386  0.0081  0.0284  0.0272  0.0390  0.02
Richter 1976   23  0.3869  0.0040  0.0641  0.1751  0.0643  0.10
Rosen 1989   49  0.3413  0.0130  0.0730  0.3139  0.1633  0.22
Rosenthal 1930   1  0.531  0.401  0.401  0.855  0.871  0.86
Rosenthal 1931   65  0.2822  0.0046  0.0650  0.0618  0.5934  0.19
Rosenthal 1931b   58  0.3032  0.0047  0.0945  0.0911  0.6432  0.24
Rosenthal 1931c   39  0.3528  0.0027  0.1028  0.3412  0.5622  0.44
Rosenthal 1931d   40  0.3540  0.0025  0.0921  0.417  0.7415  0.55
Rossi 2007   87  0.1083  0.0086  0.0287  0.0251  0.0678  0.03
Rubinstein 1939   36  0.3657  0.0036  0.0534  0.2528  0.2431  0.24
Rubinstein 1952   69  0.2771  0.0070  0.0463  0.0477  0.0386  0.03
Rubinstein 1966   44  0.3464  0.0049  0.0651  0.0653  0.0758  0.06
Schilhawsky 1960   47  0.3444  0.0050  0.0749  0.0715  0.4035  0.17
Shebanova 2002   48  0.3452  0.0051  0.0846  0.0847  0.0852  0.08
Smith 1975   53  0.3133  0.0059  0.0557  0.0552  0.0659  0.05
Sokolov 2002   59  0.2934  0.0055  0.0554  0.0562  0.0467  0.04
Sztompka 1959   14  0.4124  0.0015  0.1010  0.5518  0.5116  0.53
Tomsic 1995   82  0.1975  0.0085  0.0382  0.0384  0.0379  0.03
Uninsky 1932   4  0.474  0.076  0.338  0.5815  0.5314  0.55
Uninsky 1971   41  0.3539  0.0044  0.0743  0.1350  0.0650  0.09
Wasowski 1980   16  0.4121  0.0014  0.1024  0.3834  0.3123  0.34
Zak 1937   50  0.3379  0.0052  0.0552  0.0548  0.0757  0.06
Zak 1951   51  0.3281  0.0060  0.0558  0.0558  0.0562  0.05
Random 1   89  0.0078  0.0089  0.0288  0.0221  0.3653  0.08
Random 2   88  0.0553  0.0088  0.0189  0.0122  0.3065  0.05
Random 3   90  -0.0148  0.0090  0.0190  0.0150  0.0589  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).