Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  0.3261  0.0052  0.0751  0.0753  0.0561  0.06
Anderszewski 2003   41  0.3815  0.0032  0.1431  0.4421  0.5031  0.47
Ashkenazy 1981   18  0.4814  0.0129  0.1327  0.5016  0.5627  0.53
Bacha 2000   76  0.2635  0.0078  0.0559  0.0555  0.0565  0.05
Badura 1965   68  0.3134  0.0058  0.0470  0.0429  0.2251  0.09
Barbosa 1983   20  0.477  0.0220  0.1516  0.687  0.6417  0.66
Biret 1990   48  0.3631  0.0065  0.0473  0.0459  0.0581  0.04
Blet 2003   50  0.3654  0.0062  0.0482  0.0445  0.0671  0.05
Block 1995   45  0.3762  0.0049  0.0845  0.0842  0.1349  0.10
Blumental 1952   23  0.4629  0.0019  0.1614  0.704  0.7510  0.72
Boshniakovich 1969   46  0.3671  0.0048  0.0847  0.0867  0.0564  0.06
Brailowsky 1960   74  0.2953  0.0069  0.0565  0.0553  0.0666  0.05
Bunin 1987   39  0.3968  0.0040  0.0639  0.1818  0.4839  0.29
Bunin 1987b   40  0.3852  0.0043  0.0742  0.1522  0.4241  0.25
Chiu 1999   17  0.4810  0.0221  0.1425  0.527  0.5824  0.55
Cohen 1997   80  0.2569  0.0080  0.0383  0.0381  0.0386  0.03
Cortot 1951   84  0.1884  0.0084  0.0287  0.0253  0.0687  0.03
Csalog 1996   57  0.3424  0.0054  0.0848  0.0827  0.2447  0.14
Czerny 1949   24  0.4628  0.0025  0.1429  0.4813  0.7021  0.58
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   59  0.3448  0.0066  0.0562  0.0539  0.1354  0.08
Ezaki 2006   51  0.3542  0.0045  0.0653  0.0652  0.0756  0.06
Falvay 1989   16  0.4965  0.0023  0.1226  0.5214  0.4429  0.48
Farrell 1958   34  0.4025  0.0037  0.0737  0.2312  0.4837  0.33
Ferenczy 1958   85  0.1782  0.0086  0.0385  0.0359  0.0578  0.04
Fliere 1977   7  0.546  0.027  0.195  0.788  0.669  0.72
Fou 1978   12  0.5217  0.0012  0.139  0.752  0.747  0.74
Francois 1956   79  0.2577  0.0081  0.0471  0.0466  0.0484  0.04
Friedman 1923   42  0.3730  0.0039  0.0738  0.1918  0.5438  0.32
Friedman 1923b   44  0.3750  0.0036  0.1036  0.2720  0.5334  0.38
Friedman 1930   33  0.4145  0.0034  0.0935  0.2823  0.5035  0.37
Garcia 2007   70  0.3180  0.0068  0.0469  0.0444  0.0963  0.06
Garcia 2007b   35  0.4072  0.0041  0.0641  0.1521  0.4640  0.26
Gierzod 1998   65  0.3363  0.0047  0.0655  0.0658  0.0662  0.06
Gornostaeva 1994   58  0.3456  0.0053  0.0654  0.0640  0.1352  0.09
Groot 1988   22  0.474  0.089  0.1824  0.569  0.5425  0.55
Harasiewicz 1955   14  0.5121  0.0011  0.1910  0.754  0.6313  0.69
Hatto 1993   8  0.539  0.026  0.297  0.774  0.746  0.75
Hatto 1997   26  0.4658  0.0026  0.1621  0.6214  0.5322  0.57
Horowitz 1949   47  0.3670  0.0056  0.0558  0.0533  0.3548  0.13
Indjic 1988   11  0.5227  0.008  0.2211  0.755  0.738  0.74
Kapell 1951   2  0.583  0.093  0.202  0.851  0.793  0.82
Kissin 1993   4  0.568  0.025  0.234  0.822  0.862  0.84
Kushner 1989   10  0.5220  0.0013  0.1312  0.739  0.6116  0.67
Luisada 1991   31  0.4244  0.0035  0.0934  0.3020  0.3936  0.34
Lushtak 2004   53  0.3543  0.0059  0.0477  0.0464  0.0479  0.04
Malcuzynski 1961   28  0.4555  0.0024  0.1323  0.5621  0.4928  0.52
Magaloff 1978   52  0.3559  0.0038  0.0740  0.1741  0.1446  0.15
Magin 1975   30  0.4246  0.0030  0.1528  0.5012  0.5826  0.54
Michalowski 1933   81  0.2283  0.0079  0.0467  0.0462  0.0670  0.05
Milkina 1970   29  0.4260  0.0031  0.1430  0.4624  0.4930  0.47
Mohovich 1999   72  0.3079  0.0071  0.0564  0.0552  0.0572  0.05
Moravec 1969   13  0.5112  0.0115  0.1319  0.662  0.6815  0.67
Morozova 2008   19  0.4726  0.0017  0.1215  0.685  0.6219  0.65
Neighaus 1950   60  0.3438  0.0057  0.0466  0.0458  0.0583  0.04
Niedzielski 1931   62  0.3451  0.0050  0.0846  0.0825  0.3245  0.16
Ohlsson 1999   38  0.3964  0.0044  0.0644  0.1246  0.0653  0.08
Osinska 1989   55  0.3549  0.0055  0.0656  0.0645  0.0657  0.06
Pachmann 1927   77  0.2666  0.0075  0.0468  0.0447  0.0858  0.06
Paderewski 1930   78  0.2640  0.0074  0.0475  0.0441  0.2150  0.09
Perlemuter 1992   63  0.3378  0.0072  0.0474  0.0457  0.0574  0.04
Pierdomenico 2008   67  0.3281  0.0073  0.0476  0.0449  0.0576  0.04
Poblocka 1999   5  0.555  0.034  0.236  0.781  0.765  0.77
Rabcewiczowa 1932   71  0.3022  0.0070  0.0560  0.0560  0.0567  0.05
Rachmaninoff 1923   27  0.4618  0.0014  0.1317  0.672  0.7312  0.70
Rangell 2001   36  0.3919  0.0042  0.0743  0.1434  0.3642  0.22
Richter 1976   3  0.572  0.102  0.253  0.832  0.824  0.82
Rosen 1989   56  0.3585  0.0060  0.0480  0.0470  0.0480  0.04
Rosenthal 1930   43  0.3737  0.0051  0.0750  0.0714  0.6143  0.21
Rosenthal 1931   82  0.2186  0.0082  0.0563  0.0547  0.0759  0.06
Rosenthal 1931b   86  0.1787  0.0085  0.0384  0.0372  0.0388  0.03
Rosenthal 1931c   75  0.2773  0.0076  0.0561  0.0556  0.0573  0.05
Rosenthal 1931d   83  0.1974  0.0083  0.0557  0.0563  0.0482  0.04
Rossi 2007   87  0.1488  0.0087  0.0386  0.0375  0.0385  0.03
Rubinstein 1939   37  0.3923  0.0027  0.1233  0.4119  0.4532  0.43
Rubinstein 1952   25  0.4632  0.0028  0.1122  0.5913  0.5623  0.57
Rubinstein 1966   15  0.5047  0.0018  0.1313  0.7213  0.5918  0.65
Schilhawsky 1960   54  0.3533  0.0046  0.0849  0.0813  0.4144  0.18
Shebanova 2002   6  0.5511  0.0110  0.168  0.758  0.6811  0.71
Smith 1975   64  0.3375  0.0063  0.0479  0.0443  0.1255  0.07
Sokolov 2002   73  0.2976  0.0064  0.0472  0.0466  0.0475  0.04
Sztompka 1959   1  0.631  0.531  0.521  0.861  0.881  0.87
Tomsic 1995   49  0.3639  0.0061  0.0478  0.0455  0.0669  0.05
Uninsky 1932   21  0.4736  0.0022  0.1418  0.665  0.7014  0.68
Uninsky 1971   32  0.4116  0.0033  0.1632  0.4127  0.3833  0.39
Wasowski 1980   9  0.5313  0.0116  0.1820  0.647  0.6120  0.62
Zak 1937   61  0.3441  0.0067  0.0481  0.0477  0.0477  0.04
Zak 1951   69  0.3157  0.0077  0.0652  0.0668  0.0468  0.05
Random 1   90  -0.0690  0.0090  0.0190  0.0156  0.0489  0.02
Random 2   88  0.0667  0.0088  0.0288  0.0234  0.1960  0.06
Random 3   89  -0.0389  0.0089  0.0189  0.0145  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).