Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   1  0.836  0.075  0.193  0.5422  0.3910  0.46
Anderszewski 2003   13  0.779  0.0114  0.0726  0.2621  0.2628  0.26
Ashkenazy 1981   60  0.6474  0.0057  0.0370  0.0353  0.0486  0.03
Bacha 2000   54  0.6782  0.0018  0.0628  0.238  0.4219  0.31
Badura 1965   69  0.6071  0.0078  0.0369  0.0359  0.0578  0.04
Barbosa 1983   76  0.5533  0.0068  0.0462  0.0433  0.1563  0.08
Biret 1990   43  0.7075  0.0021  0.0827  0.2416  0.4020  0.31
Blet 2003   36  0.7116  0.0132  0.0539  0.1218  0.3634  0.21
Block 1995   77  0.5350  0.0079  0.0380  0.0351  0.0579  0.04
Blumental 1952   11  0.771  0.151  0.152  0.551  0.602  0.57
Boshniakovich 1969   57  0.6621  0.0142  0.0544  0.0968  0.0568  0.07
Brailowsky 1960   50  0.6858  0.0066  0.0364  0.0323  0.3057  0.09
Bunin 1987   86  0.3679  0.0087  0.0452  0.0471  0.0480  0.04
Bunin 1987b   87  0.3466  0.0086  0.0368  0.0372  0.0483  0.03
Chiu 1999   51  0.6859  0.0036  0.0541  0.1024  0.2441  0.15
Cohen 1997   83  0.4647  0.0082  0.0377  0.0322  0.3059  0.09
Cortot 1951   58  0.6583  0.0073  0.0382  0.0357  0.0487  0.03
Csalog 1996   79  0.5288  0.0067  0.0371  0.0316  0.3655  0.10
Czerny 1949   8  0.795  0.127  0.135  0.517  0.555  0.53
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   82  0.4761  0.0083  0.0448  0.0461  0.0477  0.04
Ezaki 2006   3  0.8214  0.018  0.126  0.512  0.583  0.54
Falvay 1989   59  0.6420  0.0171  0.0449  0.0419  0.4742  0.14
Farrell 1958   27  0.7319  0.0116  0.0816  0.364  0.5513  0.44
Ferenczy 1958   62  0.6431  0.0074  0.0376  0.0370  0.0485  0.03
Fliere 1977   7  0.7934  0.0024  0.0723  0.2841  0.1536  0.20
Fou 1978   48  0.6939  0.0049  0.0458  0.0434  0.1561  0.08
Francois 1956   10  0.7749  0.0010  0.1012  0.421  0.616  0.51
Friedman 1923   22  0.7425  0.0039  0.0536  0.1422  0.4430  0.25
Friedman 1923b   24  0.7448  0.0038  0.0533  0.1622  0.4427  0.27
Friedman 1930   16  0.7676  0.0037  0.0432  0.1614  0.4926  0.28
Garcia 2007   45  0.6985  0.0061  0.0453  0.0437  0.1864  0.08
Garcia 2007b   63  0.6389  0.0062  0.0459  0.0458  0.0581  0.04
Gierzod 1998   5  0.804  0.134  0.211  0.569  0.534  0.54
Gornostaeva 1994   55  0.6636  0.0047  0.0451  0.0425  0.2160  0.09
Groot 1988   72  0.5832  0.0069  0.0463  0.0446  0.0773  0.05
Harasiewicz 1955   28  0.7222  0.0041  0.0543  0.1070  0.0471  0.06
Hatto 1993   33  0.7218  0.0144  0.0737  0.1330  0.2540  0.18
Hatto 1997   26  0.7384  0.0045  0.0745  0.0730  0.2446  0.13
Horowitz 1949   80  0.5290  0.0084  0.0546  0.0556  0.0672  0.05
Indjic 1988   25  0.7437  0.0043  0.0635  0.1431  0.2537  0.19
Kapell 1951   46  0.6923  0.0022  0.0824  0.2727  0.1733  0.21
Kissin 1993   9  0.7944  0.009  0.128  0.4616  0.4314  0.44
Kushner 1989   6  0.8060  0.0023  0.1318  0.3412  0.4815  0.40
Luisada 1991   18  0.7577  0.0019  0.0817  0.3528  0.2423  0.29
Lushtak 2004   34  0.7227  0.0048  0.0457  0.0431  0.1865  0.08
Malcuzynski 1961   73  0.578  0.0351  0.0366  0.0332  0.1962  0.08
Magaloff 1978   44  0.7045  0.0033  0.0540  0.123  0.5129  0.25
Magin 1975   40  0.7046  0.0026  0.0820  0.3121  0.3917  0.35
Michalowski 1933   64  0.6167  0.0075  0.0379  0.0350  0.0675  0.04
Milkina 1970   12  0.7715  0.0115  0.0710  0.4512  0.489  0.46
Mohovich 1999   32  0.7262  0.0025  0.0725  0.2722  0.4318  0.34
Moravec 1969   37  0.7140  0.0011  0.1219  0.312  0.6611  0.45
Morozova 2008   35  0.7168  0.0034  0.0534  0.1525  0.2935  0.21
Neighaus 1950   49  0.6865  0.0040  0.0538  0.1241  0.1052  0.11
Niedzielski 1931   2  0.823  0.143  0.214  0.541  0.681  0.61
Ohlsson 1999   53  0.6713  0.0146  0.0456  0.0443  0.1167  0.07
Osinska 1989   4  0.817  0.046  0.147  0.5013  0.487  0.49
Pachmann 1927   56  0.6672  0.0077  0.0455  0.0416  0.3647  0.12
Paderewski 1930   38  0.7169  0.0030  0.0630  0.186  0.4625  0.29
Perlemuter 1992   30  0.7255  0.0031  0.0631  0.1631  0.2139  0.18
Pierdomenico 2008   81  0.5154  0.0076  0.0374  0.0317  0.3950  0.11
Poblocka 1999   61  0.6463  0.0058  0.0378  0.0366  0.0482  0.03
Rabcewiczowa 1932   19  0.752  0.142  0.199  0.454  0.488  0.46
Rachmaninoff 1923   15  0.7617  0.0117  0.0714  0.3810  0.3816  0.38
Rangell 2001   85  0.4052  0.0081  0.0373  0.0337  0.1569  0.07
Richter 1976   84  0.4064  0.0085  0.0387  0.0365  0.0484  0.03
Rosen 1989   21  0.7538  0.0012  0.1111  0.4310  0.4712  0.45
Rosenthal 1930   71  0.5980  0.0070  0.0450  0.0418  0.2951  0.11
Rosenthal 1931   70  0.6073  0.0064  0.0386  0.0311  0.4948  0.12
Rosenthal 1931b   67  0.6156  0.0063  0.0372  0.0311  0.5049  0.12
Rosenthal 1931c   66  0.6135  0.0050  0.0447  0.0411  0.4744  0.14
Rosenthal 1931d   65  0.6170  0.0065  0.0460  0.0410  0.5243  0.14
Rossi 2007   47  0.6930  0.0059  0.0381  0.037  0.5345  0.13
Rubinstein 1939   42  0.7053  0.0060  0.0383  0.0318  0.3453  0.10
Rubinstein 1952   75  0.5626  0.0035  0.0642  0.1025  0.3838  0.19
Rubinstein 1966   31  0.7212  0.0155  0.0365  0.0324  0.3656  0.10
Schilhawsky 1960   41  0.7051  0.0052  0.0384  0.0355  0.0576  0.04
Shebanova 2002   14  0.7629  0.0020  0.0715  0.3734  0.2422  0.30
Smith 1975   29  0.7242  0.0029  0.0729  0.2214  0.3724  0.29
Sokolov 2002   78  0.5378  0.0072  0.0385  0.0348  0.0574  0.04
Sztompka 1959   20  0.7511  0.0113  0.0813  0.3832  0.2421  0.30
Tomsic 1995   74  0.5641  0.0080  0.0367  0.0332  0.3154  0.10
Uninsky 1932   52  0.6757  0.0054  0.0461  0.0440  0.2058  0.09
Uninsky 1971   68  0.6028  0.0053  0.0375  0.0344  0.1270  0.06
Wasowski 1980   39  0.7143  0.0056  0.0454  0.0440  0.1166  0.07
Zak 1937   17  0.7610  0.0128  0.0921  0.2932  0.1831  0.23
Zak 1951   23  0.7424  0.0027  0.0722  0.2831  0.1932  0.23
Random 1   90  -0.2286  0.0089  0.0189  0.0172  0.0389  0.02
Random 2   88  -0.1581  0.0088  0.0188  0.0154  0.0488  0.02
Random 3   89  -0.1987  0.0090  0.0190  0.0171  0.0390  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).