Rachmaninoff 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.3812  0.0122  0.0921  0.4219  0.4821  0.45
Anderszewski 2003   81  0.2373  0.0080  0.0379  0.0370  0.0482  0.03
Ashkenazy 1981   18  0.415  0.0318  0.0916  0.5225  0.4519  0.48
Bacha 2000   86  0.1750  0.0084  0.0287  0.0278  0.0388  0.02
Badura 1965   63  0.2967  0.0072  0.0463  0.0465  0.0473  0.04
Barbosa 1983   21  0.4011  0.0125  0.0930  0.3452  0.0737  0.15
Biret 1990   12  0.4323  0.008  0.1413  0.5416  0.5812  0.56
Blet 2003   39  0.3539  0.0049  0.0749  0.0744  0.1345  0.10
Block 1995   31  0.3759  0.0035  0.0637  0.2449  0.0741  0.13
Blumental 1952   43  0.358  0.0124  0.1023  0.3933  0.2828  0.33
Boshniakovich 1969   82  0.2274  0.0078  0.0378  0.0372  0.0486  0.03
Brailowsky 1960   13  0.439  0.0113  0.1115  0.5412  0.664  0.60
Bunin 1987   8  0.4427  0.009  0.0910  0.575  0.617  0.59
Bunin 1987b   14  0.4335  0.0010  0.1117  0.527  0.5813  0.55
Chiu 1999   34  0.3642  0.0030  0.0728  0.3522  0.3227  0.33
Cohen 1997   76  0.2483  0.0074  0.0462  0.0462  0.0475  0.04
Cortot 1951   69  0.2863  0.0073  0.0557  0.0536  0.2147  0.10
Csalog 1996   44  0.3437  0.0038  0.0739  0.2124  0.3031  0.25
Czerny 1949   64  0.2975  0.0065  0.0474  0.0450  0.0666  0.05
Czerny 1990   6  0.464  0.044  0.233  0.7318  0.672  0.70
Duchoud 2007   62  0.2969  0.0058  0.0556  0.0535  0.2246  0.10
Ezaki 2006   46  0.3422  0.0036  0.0545  0.1150  0.0849  0.09
Falvay 1989   35  0.3665  0.0046  0.0748  0.0757  0.0557  0.06
Farrell 1958   23  0.4014  0.0021  0.1318  0.4910  0.5517  0.52
Ferenczy 1958   77  0.2448  0.0083  0.0381  0.0350  0.0765  0.05
Fliere 1977   3  0.506  0.013  0.285  0.6822  0.4810  0.57
Fou 1978   25  0.3856  0.0029  0.1024  0.3841  0.2130  0.28
Francois 1956   68  0.2877  0.0068  0.0471  0.0440  0.1654  0.08
Friedman 1923   16  0.4110  0.0119  0.0914  0.5410  0.666  0.60
Friedman 1923b   19  0.4025  0.0020  0.1012  0.5511  0.648  0.59
Friedman 1930   28  0.3726  0.0027  0.0920  0.4320  0.5120  0.47
Garcia 2007   75  0.2489  0.0079  0.0376  0.0379  0.0384  0.03
Garcia 2007b   57  0.3078  0.0064  0.0473  0.0464  0.0578  0.04
Gierzod 1998   84  0.1852  0.0076  0.0470  0.0479  0.0383  0.03
Gornostaeva 1994   58  0.3041  0.0054  0.0554  0.0569  0.0476  0.04
Groot 1988   4  0.4813  0.016  0.204  0.7014  0.499  0.59
Harasiewicz 1955   29  0.3768  0.0039  0.0638  0.2379  0.0448  0.10
Hatto 1993   33  0.3764  0.0034  0.0734  0.2649  0.0839  0.14
Hatto 1997   30  0.3720  0.0044  0.0941  0.1944  0.0940  0.13
Horowitz 1949   9  0.4419  0.0011  0.128  0.603  0.703  0.65
Indjic 1988   32  0.3758  0.0043  0.0740  0.2059  0.0643  0.11
Kapell 1951   27  0.3860  0.0040  0.0836  0.2453  0.0642  0.12
Kissin 1993   74  0.2453  0.0081  0.0380  0.0360  0.0672  0.04
Kushner 1989   56  0.3057  0.0062  0.0469  0.0476  0.0469  0.04
Luisada 1991   11  0.437  0.0117  0.0926  0.3829  0.2826  0.33
Lushtak 2004   65  0.2881  0.0070  0.0377  0.0379  0.0385  0.03
Malcuzynski 1961   36  0.3621  0.0042  0.0643  0.1669  0.0452  0.08
Magaloff 1978   20  0.4043  0.0014  0.1027  0.3833  0.2629  0.31
Magin 1975   67  0.2887  0.0075  0.0468  0.0453  0.0663  0.05
Michalowski 1933   71  0.2791  0.0066  0.0472  0.0442  0.1653  0.08
Milkina 1970   61  0.2990  0.0063  0.0460  0.0461  0.0570  0.04
Mohovich 1999   53  0.3270  0.0059  0.0461  0.0483  0.0474  0.04
Moravec 1969   10  0.4333  0.0012  0.136  0.629  0.5111  0.56
Morozova 2008   38  0.3529  0.0032  0.0733  0.3045  0.1036  0.17
Neighaus 1950   72  0.2655  0.0067  0.0375  0.0354  0.0577  0.04
Niedzielski 1931   22  0.4017  0.0023  0.1019  0.4610  0.5318  0.49
Ohlsson 1999   55  0.3045  0.0057  0.0466  0.0464  0.0471  0.04
Osinska 1989   73  0.2585  0.0055  0.0465  0.0452  0.0567  0.04
Pachmann 1927   85  0.1888  0.0088  0.0382  0.0374  0.0481  0.03
Paderewski 1930   87  0.1366  0.0085  0.0286  0.0273  0.0389  0.02
Perlemuter 1992   79  0.2338  0.0069  0.0467  0.0445  0.1155  0.07
Pierdomenico 2008   78  0.2334  0.0077  0.0384  0.0345  0.1062  0.05
Poblocka 1999   7  0.4515  0.005  0.237  0.6112  0.595  0.60
Rabcewiczowa 1932   47  0.3447  0.0033  0.0932  0.3132  0.3725  0.34
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   80  0.2386  0.0082  0.0285  0.0273  0.0391  0.02
Richter 1976   24  0.3872  0.0041  0.0642  0.1752  0.0644  0.10
Rosen 1989   50  0.3440  0.0031  0.0731  0.3140  0.1634  0.22
Rosenthal 1930   2  0.532  0.132  0.392  0.855  0.871  0.86
Rosenthal 1931   66  0.2816  0.0047  0.0651  0.0619  0.5935  0.19
Rosenthal 1931b   59  0.3030  0.0048  0.0946  0.0912  0.6433  0.24
Rosenthal 1931c   40  0.3528  0.0028  0.1029  0.3413  0.5622  0.44
Rosenthal 1931d   41  0.3546  0.0026  0.0922  0.418  0.7415  0.55
Rossi 2007   88  0.1084  0.0087  0.0288  0.0252  0.0679  0.03
Rubinstein 1939   37  0.3661  0.0037  0.0535  0.2529  0.2432  0.24
Rubinstein 1952   70  0.2771  0.0071  0.0464  0.0478  0.0387  0.03
Rubinstein 1966   45  0.3462  0.0050  0.0652  0.0654  0.0759  0.06
Schilhawsky 1960   48  0.3444  0.0051  0.0650  0.0616  0.4038  0.15
Shebanova 2002   49  0.3454  0.0052  0.0847  0.0848  0.0756  0.07
Smith 1975   54  0.3131  0.0060  0.0558  0.0553  0.0661  0.05
Sokolov 2002   60  0.2932  0.0056  0.0555  0.0563  0.0468  0.04
Sztompka 1959   15  0.4118  0.0016  0.1011  0.5519  0.5116  0.53
Tomsic 1995   83  0.1976  0.0086  0.0383  0.0385  0.0380  0.03
Uninsky 1932   5  0.473  0.057  0.339  0.5816  0.5314  0.55
Uninsky 1971   42  0.3536  0.0045  0.0744  0.1351  0.0650  0.09
Wasowski 1980   17  0.4124  0.0015  0.1025  0.3835  0.3124  0.34
Zak 1937   51  0.3380  0.0053  0.0553  0.0549  0.0758  0.06
Zak 1951   52  0.3282  0.0061  0.0559  0.0559  0.0564  0.05
Average   1  0.581  0.601  0.601  0.8641  0.1923  0.40
Random 1   90  0.0079  0.0090  0.0289  0.0221  0.3751  0.09
Random 2   89  0.0551  0.0089  0.0190  0.0122  0.3360  0.06
Random 3   91  -0.0149  0.0091  0.0191  0.0150  0.0590  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).