Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.7816  0.014  0.274  0.592  0.544  0.56
Anderszewski 2003   62  0.4613  0.0128  0.0639  0.1632  0.1938  0.17
Ashkenazy 1981   56  0.5243  0.0041  0.0541  0.1050  0.0455  0.06
Bacha 2000   78  0.2867  0.0085  0.0372  0.0371  0.0369  0.03
Badura 1965   33  0.6177  0.0040  0.0640  0.1322  0.3235  0.20
Barbosa 1983   45  0.5770  0.0055  0.0746  0.0743  0.1844  0.11
Biret 1990   23  0.6625  0.0034  0.0732  0.2432  0.1934  0.21
Blet 2003   20  0.6675  0.0029  0.0623  0.3223  0.3226  0.32
Block 1995   70  0.3824  0.0069  0.0368  0.0356  0.0481  0.03
Blumental 1952   55  0.5210  0.0213  0.1028  0.266  0.4124  0.33
Boshniakovich 1969   51  0.5355  0.0073  0.0464  0.0461  0.0468  0.04
Brailowsky 1960   66  0.4048  0.0079  0.0378  0.0376  0.0470  0.03
Bunin 1987   27  0.6535  0.0031  0.0624  0.3124  0.3427  0.32
Bunin 1987b   26  0.6547  0.0032  0.0925  0.3124  0.3425  0.32
Chiu 1999   67  0.4078  0.0071  0.0375  0.0369  0.0471  0.03
Cohen 1997   87  0.0871  0.0087  0.0283  0.0275  0.0384  0.02
Cortot 1951   14  0.7054  0.0011  0.1413  0.434  0.5312  0.48
Csalog 1996   75  0.3473  0.0084  0.0380  0.0362  0.0379  0.03
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   1  0.891  0.471  0.461  0.741  0.691  0.71
Duchoud 2007   36  0.6033  0.0042  0.0542  0.1036  0.1941  0.14
Ezaki 2006   7  0.7522  0.009  0.1012  0.4712  0.4113  0.44
Falvay 1989   34  0.6120  0.0152  0.0654  0.0642  0.0951  0.07
Farrell 1958   52  0.5350  0.0056  0.0745  0.0755  0.0457  0.05
Ferenczy 1958   32  0.6153  0.0027  0.0737  0.1918  0.4032  0.28
Fliere 1977   22  0.6689  0.0049  0.0647  0.0672  0.0456  0.05
Fou 1978   72  0.3632  0.0074  0.0559  0.0572  0.0465  0.04
Francois 1956   2  0.832  0.092  0.232  0.681  0.682  0.68
Friedman 1923   82  0.2282  0.0038  0.1036  0.198  0.4630  0.30
Friedman 1923b   81  0.2379  0.0037  0.0834  0.208  0.4529  0.30
Friedman 1930   54  0.5244  0.0022  0.0718  0.394  0.4914  0.44
Garcia 2007   80  0.2364  0.0077  0.0379  0.0377  0.0380  0.03
Garcia 2007b   86  0.1280  0.0080  0.0282  0.0273  0.0389  0.02
Gierzod 1998   13  0.706  0.037  0.109  0.523  0.4411  0.48
Gornostaeva 1994   10  0.734  0.0316  0.1120  0.3711  0.3920  0.38
Groot 1988   30  0.6336  0.0047  0.0555  0.0542  0.1153  0.07
Harasiewicz 1955   47  0.5563  0.0039  0.0835  0.2042  0.1042  0.14
Hatto 1993   84  0.1986  0.0067  0.0374  0.0374  0.0287  0.02
Hatto 1997   76  0.3040  0.0057  0.0651  0.0648  0.0460  0.05
Horowitz 1949   50  0.5314  0.0146  0.0556  0.0538  0.1349  0.08
Indjic 1988   83  0.2287  0.0066  0.0377  0.0368  0.0377  0.03
Kapell 1951   8  0.748  0.035  0.226  0.545  0.536  0.53
Kissin 1993   58  0.4951  0.0063  0.0376  0.0362  0.0476  0.03
Kushner 1989   18  0.6849  0.0024  0.0727  0.2723  0.3231  0.29
Luisada 1991   61  0.4756  0.0065  0.0367  0.0349  0.0561  0.04
Lushtak 2004   48  0.5583  0.0033  0.0929  0.2650  0.0545  0.11
Malcuzynski 1961   11  0.717  0.0312  0.125  0.5710  0.468  0.51
Magaloff 1978   49  0.5327  0.0060  0.0462  0.0456  0.0462  0.04
Magin 1975   71  0.3757  0.0068  0.0373  0.0347  0.0564  0.04
Michalowski 1933   53  0.5318  0.0120  0.1019  0.386  0.4715  0.42
Milkina 1970   64  0.4519  0.0143  0.0544  0.0947  0.0652  0.07
Mohovich 1999   19  0.6621  0.0136  0.0730  0.2530  0.1636  0.20
Moravec 1969   15  0.7017  0.0118  0.1014  0.422  0.589  0.49
Morozova 2008   29  0.6360  0.0021  0.0826  0.318  0.3128  0.31
Neighaus 1950   25  0.659  0.0217  0.1015  0.4222  0.3421  0.38
Niedzielski 1931   57  0.5228  0.0059  0.0557  0.0556  0.0463  0.04
Ohlsson 1999   37  0.6046  0.0053  0.0460  0.0449  0.0659  0.05
Osinska 1989   4  0.7915  0.018  0.0910  0.513  0.555  0.53
Pachmann 1927   79  0.2558  0.0083  0.0287  0.0261  0.0475  0.03
Paderewski 1930   38  0.5912  0.0154  0.0653  0.0634  0.1447  0.09
Perlemuter 1992   35  0.6081  0.0050  0.0650  0.0642  0.1048  0.08
Pierdomenico 2008   42  0.5876  0.0061  0.0371  0.0353  0.0472  0.03
Poblocka 1999   31  0.6152  0.0035  0.0733  0.2035  0.1737  0.18
Rabcewiczowa 1932   3  0.805  0.036  0.153  0.591  0.653  0.62
Rachmaninoff 1923   28  0.6434  0.0026  0.0821  0.378  0.4018  0.38
Rangell 2001   69  0.3842  0.0081  0.0285  0.0270  0.0385  0.02
Richter 1976   65  0.4366  0.0070  0.0366  0.0376  0.0374  0.03
Rosen 1989   39  0.5830  0.0025  0.0838  0.1923  0.3633  0.26
Rosenthal 1930   21  0.6645  0.0030  0.0631  0.243  0.5622  0.37
Rosenthal 1931   73  0.3574  0.0075  0.0461  0.0468  0.0378  0.03
Rosenthal 1931b   77  0.3062  0.0076  0.0370  0.0368  0.0382  0.03
Rosenthal 1931c   40  0.5861  0.0048  0.0649  0.0618  0.3639  0.15
Rosenthal 1931d   74  0.3429  0.0078  0.0281  0.0266  0.0386  0.02
Rossi 2007   63  0.4672  0.0064  0.0369  0.0325  0.1750  0.07
Rubinstein 1939   85  0.1839  0.0088  0.0289  0.0266  0.0473  0.03
Rubinstein 1952   68  0.4068  0.0082  0.0286  0.0279  0.0388  0.02
Rubinstein 1966   59  0.4759  0.0062  0.0463  0.0450  0.0566  0.04
Schilhawsky 1960   24  0.6526  0.0023  0.0722  0.3619  0.3423  0.35
Shebanova 2002   60  0.4790  0.0072  0.0365  0.0351  0.0667  0.04
Smith 1975   9  0.7441  0.0014  0.0911  0.4913  0.3019  0.38
Sokolov 2002   12  0.7111  0.0215  0.107  0.538  0.4610  0.49
Sztompka 1959   5  0.783  0.063  0.218  0.525  0.537  0.52
Tomsic 1995   43  0.5738  0.0051  0.0648  0.0661  0.0458  0.05
Uninsky 1932   17  0.6937  0.0010  0.1017  0.4015  0.4317  0.41
Uninsky 1971   16  0.6931  0.0019  0.1016  0.4015  0.4316  0.41
Wasowski 1980   46  0.5665  0.0058  0.0652  0.0623  0.2443  0.12
Zak 1937   44  0.5784  0.0045  0.0558  0.0537  0.1746  0.09
Zak 1951   41  0.5888  0.0044  0.0543  0.0934  0.2140  0.14
Random 1   90  -0.2585  0.0090  0.0190  0.0190  0.0190  0.01
Random 2   89  -0.0623  0.0089  0.0288  0.0267  0.0383  0.02
Random 3   88  -0.0469  0.0086  0.0284  0.0231  0.1854  0.06

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).