Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.3853  0.0071  0.0559  0.0542  0.1370  0.08
Anderszewski 2003   13  0.623  0.063  0.217  0.761  0.748  0.75
Ashkenazy 1981   74  0.3545  0.0076  0.0374  0.0355  0.0488  0.03
Bacha 2000   72  0.3531  0.0072  0.0381  0.0330  0.2968  0.09
Badura 1965   55  0.4223  0.0058  0.0653  0.068  0.4849  0.17
Barbosa 1983   9  0.635  0.035  0.186  0.771  0.766  0.76
Biret 1990   34  0.5464  0.0028  0.1332  0.4721  0.4437  0.45
Blet 2003   73  0.3558  0.0079  0.0384  0.0361  0.0485  0.03
Block 1995   43  0.4959  0.0046  0.0946  0.099  0.5644  0.22
Blumental 1952   24  0.5710  0.0121  0.1121  0.653  0.7313  0.69
Boshniakovich 1969   33  0.5465  0.0024  0.1225  0.5911  0.5130  0.55
Brailowsky 1960   42  0.5132  0.0039  0.1039  0.2519  0.5339  0.36
Bunin 1987   65  0.3966  0.0063  0.0563  0.0539  0.1171  0.07
Bunin 1987b   67  0.3855  0.0065  0.0469  0.0447  0.0675  0.05
Chiu 1999   48  0.4630  0.0055  0.0655  0.0621  0.3355  0.14
Cohen 1997   78  0.3373  0.0080  0.0376  0.0358  0.0489  0.03
Cortot 1951   71  0.3762  0.0064  0.0467  0.0413  0.5158  0.14
Csalog 1996   52  0.4447  0.0051  0.0654  0.0632  0.2361  0.12
Czerny 1949   1  0.751  0.501  0.492  0.851  0.891  0.87
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   86  0.2182  0.0087  0.0382  0.0368  0.0486  0.03
Ezaki 2006   16  0.6126  0.0016  0.1023  0.618  0.6024  0.60
Falvay 1989   6  0.666  0.039  0.2518  0.6611  0.6321  0.64
Farrell 1958   29  0.5556  0.0026  0.1124  0.608  0.6622  0.63
Ferenczy 1958   46  0.4850  0.0047  0.0651  0.0612  0.5947  0.19
Fliere 1977   35  0.5433  0.0034  0.1230  0.5027  0.3938  0.44
Fou 1978   22  0.5734  0.0029  0.1226  0.589  0.5228  0.55
Francois 1956   64  0.3921  0.0070  0.0470  0.0428  0.2863  0.11
Friedman 1923   61  0.4076  0.0059  0.0465  0.047  0.5654  0.15
Friedman 1923b   63  0.4067  0.0056  0.0558  0.056  0.5850  0.17
Friedman 1930   57  0.4251  0.0060  0.0556  0.0521  0.4257  0.14
Garcia 2007   82  0.2946  0.0081  0.0373  0.0360  0.0580  0.04
Garcia 2007b   60  0.4083  0.0057  0.0560  0.0537  0.2067  0.10
Gierzod 1998   5  0.6615  0.008  0.1810  0.744  0.6315  0.68
Gornostaeva 1994   36  0.5437  0.0037  0.1436  0.4113  0.5336  0.47
Groot 1988   56  0.429  0.0140  0.0942  0.1917  0.3643  0.26
Harasiewicz 1955   2  0.742  0.222  0.541  0.861  0.842  0.85
Hatto 1993   20  0.5877  0.0015  0.1420  0.666  0.6917  0.67
Hatto 1997   25  0.5778  0.0020  0.1319  0.666  0.6816  0.67
Horowitz 1949   83  0.2684  0.0085  0.0379  0.0358  0.0579  0.04
Indjic 1988   23  0.5768  0.0019  0.1022  0.647  0.6819  0.66
Kapell 1951   11  0.6316  0.0011  0.175  0.782  0.755  0.76
Kissin 1993   14  0.6222  0.0023  0.1117  0.675  0.7411  0.70
Kushner 1989   18  0.6054  0.0018  0.1014  0.6814  0.5523  0.61
Luisada 1991   68  0.3879  0.0069  0.0468  0.0466  0.0477  0.04
Lushtak 2004   26  0.567  0.0131  0.0933  0.4716  0.5233  0.49
Malcuzynski 1961   17  0.6118  0.0014  0.1315  0.687  0.6320  0.65
Magaloff 1978   37  0.5335  0.0036  0.1138  0.407  0.5932  0.49
Magin 1975   44  0.4974  0.0045  0.1045  0.1026  0.3546  0.19
Michalowski 1933   87  0.1880  0.0086  0.0386  0.0365  0.0384  0.03
Milkina 1970   8  0.648  0.016  0.1711  0.714  0.6614  0.68
Mohovich 1999   49  0.4685  0.0048  0.0749  0.0754  0.0574  0.06
Moravec 1969   21  0.5743  0.0030  0.1127  0.544  0.6625  0.60
Morozova 2008   40  0.5169  0.0041  0.0741  0.2016  0.5141  0.32
Neighaus 1950   47  0.4739  0.0054  0.0562  0.056  0.5751  0.17
Niedzielski 1931   84  0.2463  0.0084  0.0378  0.0373  0.0483  0.03
Ohlsson 1999   45  0.4870  0.0049  0.0947  0.0934  0.2952  0.16
Osinska 1989   4  0.6613  0.017  0.174  0.786  0.709  0.74
Pachmann 1927   79  0.3240  0.0077  0.0375  0.0321  0.4462  0.11
Paderewski 1930   85  0.2460  0.0078  0.0372  0.0319  0.3664  0.10
Perlemuter 1992   77  0.3386  0.0083  0.0287  0.0252  0.0582  0.03
Pierdomenico 2008   76  0.3387  0.0073  0.0383  0.0343  0.1172  0.06
Poblocka 1999   7  0.6527  0.0010  0.199  0.762  0.747  0.75
Rabcewiczowa 1932   54  0.4338  0.0050  0.0652  0.0639  0.1469  0.09
Rachmaninoff 1923   66  0.3957  0.0052  0.0650  0.0629  0.3156  0.14
Rangell 2001   38  0.5228  0.0042  0.0840  0.228  0.5940  0.36
Richter 1976   19  0.5814  0.0122  0.1016  0.671  0.7212  0.69
Rosen 1989   51  0.4511  0.0166  0.0377  0.0375  0.0387  0.03
Rosenthal 1930   62  0.4044  0.0062  0.0748  0.0718  0.5048  0.19
Rosenthal 1931   69  0.3888  0.0068  0.0464  0.0422  0.4160  0.13
Rosenthal 1931b   81  0.3171  0.0075  0.0380  0.0324  0.3566  0.10
Rosenthal 1931c   59  0.4181  0.0053  0.0561  0.0516  0.4653  0.15
Rosenthal 1931d   80  0.3289  0.0074  0.0385  0.0330  0.3165  0.10
Rossi 2007   75  0.3429  0.0082  0.0466  0.0459  0.0578  0.04
Rubinstein 1939   39  0.5148  0.0035  0.1035  0.4314  0.5235  0.47
Rubinstein 1952   12  0.6341  0.0017  0.1012  0.707  0.6518  0.67
Rubinstein 1966   3  0.684  0.064  0.243  0.833  0.744  0.78
Schilhawsky 1960   32  0.5419  0.0025  0.1528  0.523  0.6826  0.59
Shebanova 2002   41  0.5112  0.0143  0.0743  0.1529  0.2945  0.21
Smith 1975   30  0.5524  0.0032  0.1029  0.513  0.6727  0.58
Sokolov 2002   53  0.4472  0.0061  0.0557  0.0533  0.3359  0.13
Sztompka 1959   10  0.6320  0.0012  0.1413  0.691  0.7910  0.74
Tomsic 1995   58  0.4149  0.0067  0.0471  0.0448  0.0873  0.06
Uninsky 1932   50  0.4642  0.0044  0.0744  0.145  0.6742  0.31
Uninsky 1971   15  0.6217  0.0013  0.118  0.761  0.833  0.79
Wasowski 1980   28  0.5552  0.0027  0.1034  0.4613  0.5331  0.49
Zak 1937   27  0.5636  0.0033  0.1031  0.4810  0.6229  0.55
Zak 1951   31  0.5525  0.0038  0.1337  0.4013  0.5834  0.48
Random 1   90  -0.0761  0.0089  0.0189  0.0130  0.2276  0.05
Random 2   88  0.0175  0.0090  0.0190  0.0159  0.0490  0.02
Random 3   89  -0.0790  0.0088  0.0188  0.0130  0.1881  0.04

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).