Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.3432  0.0039  0.0738  0.2753  0.0543  0.12
Anderszewski 2003   32  0.3644  0.0022  0.2021  0.6127  0.4421  0.52
Ashkenazy 1981   74  0.1980  0.0087  0.0285  0.0279  0.0483  0.03
Bacha 2000   45  0.3068  0.0047  0.0748  0.0740  0.1845  0.11
Badura 1965   72  0.2281  0.0069  0.0653  0.0651  0.0560  0.05
Barbosa 1983   41  0.3174  0.0041  0.0840  0.2362  0.0641  0.12
Biret 1990   14  0.4624  0.0019  0.1820  0.6421  0.5417  0.59
Blet 2003   76  0.1948  0.0078  0.0473  0.0472  0.0380  0.03
Block 1995   75  0.1952  0.0075  0.0381  0.0386  0.0382  0.03
Blumental 1952   61  0.2634  0.0050  0.0651  0.0661  0.0561  0.05
Boshniakovich 1969   60  0.2627  0.0042  0.0745  0.1480  0.0453  0.07
Brailowsky 1960   49  0.3053  0.0049  0.0652  0.0664  0.0555  0.05
Bunin 1987   52  0.2928  0.0061  0.0566  0.0578  0.0375  0.04
Bunin 1987b   56  0.2833  0.0062  0.0564  0.0569  0.0466  0.04
Chiu 1999   58  0.2755  0.0070  0.0472  0.0488  0.0278  0.03
Cohen 1997   26  0.3821  0.0031  0.1325  0.5313  0.5919  0.56
Cortot 1951   19  0.4216  0.0120  0.1918  0.672  0.749  0.70
Csalog 1996   71  0.2270  0.0076  0.0376  0.0388  0.0288  0.02
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   12  0.4620  0.0015  0.1514  0.7030  0.4818  0.58
Duchoud 2007   65  0.2467  0.0073  0.0475  0.0474  0.0471  0.04
Ezaki 2006   4  0.529  0.022  0.276  0.802  0.763  0.78
Falvay 1989   15  0.4431  0.0023  0.2124  0.5532  0.3026  0.41
Farrell 1958   7  0.504  0.047  0.315  0.812  0.772  0.79
Ferenczy 1958   24  0.3913  0.0130  0.1227  0.539  0.7315  0.62
Fliere 1977   67  0.2383  0.0071  0.0469  0.0483  0.0463  0.04
Fou 1978   30  0.3617  0.0135  0.0934  0.4362  0.0436  0.13
Francois 1956   13  0.4622  0.0012  0.1912  0.734  0.786  0.75
Friedman 1923   85  0.1290  0.0083  0.0288  0.0279  0.0390  0.02
Friedman 1923b   87  0.1191  0.0084  0.0382  0.0380  0.0384  0.03
Friedman 1930   82  0.1569  0.0082  0.0286  0.0282  0.0389  0.02
Garcia 2007   81  0.1676  0.0065  0.0467  0.0477  0.0472  0.04
Garcia 2007b   77  0.1971  0.0077  0.0377  0.0379  0.0485  0.03
Gierzod 1998   34  0.3542  0.0032  0.1331  0.4562  0.0533  0.15
Gornostaeva 1994   6  0.5111  0.018  0.158  0.777  0.668  0.71
Groot 1988   66  0.2458  0.0067  0.0468  0.0467  0.0476  0.04
Harasiewicz 1955   8  0.4910  0.025  0.237  0.807  0.6010  0.69
Hatto 1993   40  0.3172  0.0044  0.0741  0.2277  0.0449  0.09
Hatto 1997   18  0.4319  0.0121  0.2322  0.6024  0.3524  0.46
Horowitz 1949   88  0.1082  0.0091  0.0191  0.0188  0.0387  0.02
Indjic 1988   46  0.3036  0.0045  0.1142  0.2179  0.0447  0.09
Kapell 1951   35  0.3412  0.0126  0.1230  0.4944  0.0927  0.21
Kissin 1993   68  0.2364  0.0063  0.0470  0.0468  0.0659  0.05
Kushner 1989   29  0.3646  0.0027  0.0929  0.5055  0.0630  0.17
Luisada 1991   70  0.2284  0.0074  0.0379  0.0387  0.0377  0.03
Lushtak 2004   43  0.3050  0.0052  0.0654  0.0686  0.0373  0.04
Malcuzynski 1961   22  0.4029  0.0018  0.1517  0.6829  0.4020  0.52
Magaloff 1978   50  0.2941  0.0036  0.0843  0.1981  0.0350  0.08
Magin 1975   57  0.2877  0.0048  0.0847  0.0862  0.0554  0.06
Michalowski 1933   83  0.1339  0.0081  0.0380  0.0372  0.0479  0.03
Milkina 1970   1  0.561  0.471  0.474  0.825  0.745  0.78
Mohovich 1999   38  0.3273  0.0028  0.1032  0.4457  0.0534  0.15
Moravec 1969   16  0.446  0.0410  0.1513  0.727  0.5712  0.64
Morozova 2008   27  0.3866  0.0029  0.1126  0.5353  0.0532  0.16
Neighaus 1950   21  0.4056  0.0025  0.1423  0.5730  0.3125  0.42
Niedzielski 1931   89  0.0585  0.0090  0.0190  0.0188  0.0291  0.01
Ohlsson 1999   33  0.3514  0.0134  0.0835  0.3565  0.0440  0.12
Osinska 1989   10  0.4826  0.009  0.2210  0.7416  0.5811  0.66
Pachmann 1927   79  0.1778  0.0079  0.0471  0.0475  0.0469  0.04
Paderewski 1930   84  0.1387  0.0080  0.0474  0.0468  0.0468  0.04
Perlemuter 1992   80  0.1686  0.0088  0.0284  0.0288  0.0286  0.02
Pierdomenico 2008   63  0.2551  0.0066  0.0562  0.0553  0.0464  0.04
Poblocka 1999   48  0.3088  0.0055  0.0560  0.0563  0.0556  0.05
Rabcewiczowa 1932   9  0.4815  0.0111  0.179  0.754  0.707  0.72
Rachmaninoff 1923   54  0.2945  0.0051  0.0650  0.0674  0.0457  0.05
Rangell 2001   25  0.395  0.0416  0.1419  0.666  0.6313  0.64
Richter 1976   53  0.2965  0.0056  0.0749  0.0775  0.0458  0.05
Rosen 1989   42  0.3161  0.0054  0.0556  0.0584  0.0374  0.04
Rosenthal 1930   44  0.3047  0.0043  0.0744  0.1539  0.2728  0.20
Rosenthal 1931   64  0.2459  0.0058  0.0555  0.0539  0.2742  0.12
Rosenthal 1931b   73  0.2079  0.0068  0.0561  0.0552  0.0562  0.05
Rosenthal 1931c   55  0.2860  0.0046  0.0846  0.0844  0.1446  0.11
Rosenthal 1931d   69  0.2240  0.0060  0.0559  0.0543  0.1351  0.08
Rossi 2007   47  0.3043  0.0053  0.0563  0.0523  0.3735  0.14
Rubinstein 1939   5  0.522  0.103  0.282  0.844  0.724  0.78
Rubinstein 1952   20  0.417  0.0313  0.1415  0.7023  0.5216  0.60
Rubinstein 1966   17  0.4425  0.0017  0.1416  0.6927  0.3323  0.48
Schilhawsky 1960   51  0.2949  0.0057  0.0557  0.0575  0.0470  0.04
Shebanova 2002   78  0.1937  0.0085  0.0383  0.0385  0.0381  0.03
Smith 1975   2  0.533  0.074  0.291  0.843  0.801  0.82
Sokolov 2002   23  0.4062  0.0024  0.1228  0.5019  0.4622  0.48
Sztompka 1959   31  0.3630  0.0037  0.0936  0.3567  0.0538  0.13
Tomsic 1995   39  0.3257  0.0040  0.0937  0.3263  0.0537  0.13
Uninsky 1932   37  0.3323  0.0038  0.1039  0.2581  0.0348  0.09
Uninsky 1971   11  0.4618  0.0114  0.1711  0.7415  0.5214  0.62
Wasowski 1980   28  0.3638  0.0033  0.0833  0.4454  0.0631  0.16
Zak 1937   62  0.2689  0.0064  0.0565  0.0579  0.0465  0.04
Zak 1951   59  0.2735  0.0059  0.0558  0.0585  0.0367  0.04
Average   3  0.538  0.036  0.303  0.8369  0.0429  0.18
Random 1   91  0.0275  0.0089  0.0189  0.0114  0.4352  0.07
Random 2   86  0.1163  0.0072  0.0378  0.031  0.5739  0.13
Random 3   90  0.0454  0.0086  0.0287  0.022  0.6844  0.12

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).